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- IJG JPEG LIBRARY: SYSTEM ARCHITECTURE
- This file was part of the Independent JPEG Group's software:
- Copyright (C) 1991-2012, Thomas G. Lane, Guido Vollbeding.
- It was modified by The libjpeg-turbo Project to include only information
- relevant to libjpeg-turbo.
- For conditions of distribution and use, see the accompanying README.ijg file.
- This file provides an overview of the architecture of the IJG JPEG software;
- that is, the functions of the various modules in the system and the interfaces
- between modules. For more precise details about any data structure or calling
- convention, see the include files and comments in the source code.
- We assume that the reader is already somewhat familiar with the JPEG standard.
- The README.ijg file includes references for learning about JPEG. The file
- libjpeg.txt describes the library from the viewpoint of an application
- programmer using the library; it's best to read that file before this one.
- Also, the file coderules.txt describes the coding style conventions we use.
- In this document, JPEG-specific terminology follows the JPEG standard:
- A "component" means a color channel, e.g., Red or Luminance.
- A "sample" is a single component value (i.e., one number in the image data).
- A "coefficient" is a frequency coefficient (a DCT transform output number).
- A "block" is an 8x8 group of samples or coefficients.
- An "MCU" (minimum coded unit) is an interleaved set of blocks of size
- determined by the sampling factors, or a single block in a
- noninterleaved scan.
- We do not use the terms "pixel" and "sample" interchangeably. When we say
- pixel, we mean an element of the full-size image, while a sample is an element
- of the downsampled image. Thus the number of samples may vary across
- components while the number of pixels does not. (This terminology is not used
- rigorously throughout the code, but it is used in places where confusion would
- otherwise result.)
- *** System features ***
- The IJG distribution contains two parts:
- * A subroutine library for JPEG compression and decompression.
- * cjpeg/djpeg, two sample applications that use the library to transform
- JFIF JPEG files to and from several other image formats.
- cjpeg/djpeg are of no great intellectual complexity: they merely add a simple
- command-line user interface and I/O routines for several uncompressed image
- formats. This document concentrates on the library itself.
- We desire the library to be capable of supporting all JPEG baseline, extended
- sequential, and progressive DCT processes. Hierarchical processes are not
- supported.
- The library does not support the lossless (spatial) JPEG process. Lossless
- JPEG shares little or no code with lossy JPEG, and would normally be used
- without the extensive pre- and post-processing provided by this library.
- We feel that lossless JPEG is better handled by a separate library.
- Within these limits, any set of compression parameters allowed by the JPEG
- spec should be readable for decompression. (We can be more restrictive about
- what formats we can generate.) Although the system design allows for all
- parameter values, some uncommon settings are not yet implemented and may
- never be; nonintegral sampling ratios are the prime example. Furthermore,
- we treat 8-bit vs. 12-bit data precision as a compile-time switch, not a
- run-time option, because most machines can store 8-bit pixels much more
- compactly than 12-bit.
- By itself, the library handles only interchange JPEG datastreams --- in
- particular the widely used JFIF file format. The library can be used by
- surrounding code to process interchange or abbreviated JPEG datastreams that
- are embedded in more complex file formats. (For example, libtiff uses this
- library to implement JPEG compression within the TIFF file format.)
- The library includes a substantial amount of code that is not covered by the
- JPEG standard but is necessary for typical applications of JPEG. These
- functions preprocess the image before JPEG compression or postprocess it after
- decompression. They include colorspace conversion, downsampling/upsampling,
- and color quantization. This code can be omitted if not needed.
- A wide range of quality vs. speed tradeoffs are possible in JPEG processing,
- and even more so in decompression postprocessing. The decompression library
- provides multiple implementations that cover most of the useful tradeoffs,
- ranging from very-high-quality down to fast-preview operation. On the
- compression side we have generally not provided low-quality choices, since
- compression is normally less time-critical. It should be understood that the
- low-quality modes may not meet the JPEG standard's accuracy requirements;
- nonetheless, they are useful for viewers.
- *** System overview ***
- The compressor and decompressor are each divided into two main sections:
- the JPEG compressor or decompressor proper, and the preprocessing or
- postprocessing functions. The interface between these two sections is the
- image data that Rec. ITU-T T.81 | ISO/IEC 10918-1 regards as its input or
- output: this data is in the colorspace to be used for compression, and it is
- downsampled to the sampling factors to be used. The preprocessing and
- postprocessing steps are responsible for converting a normal image
- representation to or from this form. (Those few applications that want to deal
- with YCbCr downsampled data can skip the preprocessing or postprocessing step.)
- Looking more closely, the compressor library contains the following main
- elements:
- Preprocessing:
- * Color space conversion (e.g., RGB to YCbCr).
- * Edge expansion and downsampling. Optionally, this step can do simple
- smoothing --- this is often helpful for low-quality source data.
- JPEG proper:
- * MCU assembly, DCT, quantization.
- * Entropy coding (sequential or progressive, Huffman or arithmetic).
- In addition to these modules we need overall control, marker generation,
- and support code (memory management & error handling). There is also a
- module responsible for physically writing the output data --- typically
- this is just an interface to fwrite(), but some applications may need to
- do something else with the data.
- The decompressor library contains the following main elements:
- JPEG proper:
- * Entropy decoding (sequential or progressive, Huffman or arithmetic).
- * Dequantization, inverse DCT, MCU disassembly.
- Postprocessing:
- * Upsampling. Optionally, this step may be able to do more general
- rescaling of the image.
- * Color space conversion (e.g., YCbCr to RGB). This step may also
- provide gamma adjustment [ currently it does not ].
- * Optional color quantization (e.g., reduction to 256 colors).
- * Optional color precision reduction (e.g., 24-bit to 15-bit color).
- [This feature is not currently implemented.]
- We also need overall control, marker parsing, and a data source module.
- The support code (memory management & error handling) can be shared with
- the compression half of the library.
- There may be several implementations of each of these elements, particularly
- in the decompressor, where a wide range of speed/quality tradeoffs is very
- useful. It must be understood that some of the best speedups involve
- merging adjacent steps in the pipeline. For example, upsampling, color space
- conversion, and color quantization might all be done at once when using a
- low-quality ordered-dither technique. The system architecture is designed to
- allow such merging where appropriate.
- Note: it is convenient to regard edge expansion (padding to block boundaries)
- as a preprocessing/postprocessing function, even though
- Rec. ITU-T T.81 | ISO/IEC 10918-1 includes it in compression/decompression. We
- do this because downsampling/upsampling can be simplified a little if they work
- on padded data: it's not necessary to have special cases at the right and
- bottom edges. Therefore the interface buffer is always an integral number of
- blocks wide and high, and we expect compression preprocessing to pad the source
- data properly. Padding will occur only to the next block (8-sample) boundary.
- In an interleaved-scan situation, additional dummy blocks may be used to fill
- out MCUs, but the MCU assembly and disassembly logic will create or discard
- these blocks internally. (This is advantageous for speed reasons, since we
- avoid DCTing the dummy blocks. It also permits a small reduction in file size,
- because the compressor can choose dummy block contents so as to minimize their
- size in compressed form. Finally, it makes the interface buffer specification
- independent of whether the file is actually interleaved or not.) Applications
- that wish to deal directly with the downsampled data must provide similar
- buffering and padding for odd-sized images.
- *** Poor man's object-oriented programming ***
- It should be clear by now that we have a lot of quasi-independent processing
- steps, many of which have several possible behaviors. To avoid cluttering the
- code with lots of switch statements, we use a simple form of object-style
- programming to separate out the different possibilities.
- For example, two different color quantization algorithms could be implemented
- as two separate modules that present the same external interface; at runtime,
- the calling code will access the proper module indirectly through an "object".
- We can get the limited features we need while staying within portable C.
- The basic tool is a function pointer. An "object" is just a struct
- containing one or more function pointer fields, each of which corresponds to
- a method name in real object-oriented languages. During initialization we
- fill in the function pointers with references to whichever module we have
- determined we need to use in this run. Then invocation of the module is done
- by indirecting through a function pointer; on most machines this is no more
- expensive than a switch statement, which would be the only other way of
- making the required run-time choice. The really significant benefit, of
- course, is keeping the source code clean and well structured.
- We can also arrange to have private storage that varies between different
- implementations of the same kind of object. We do this by making all the
- module-specific object structs be separately allocated entities, which will
- be accessed via pointers in the master compression or decompression struct.
- The "public" fields or methods for a given kind of object are specified by
- a commonly known struct. But a module's initialization code can allocate
- a larger struct that contains the common struct as its first member, plus
- additional private fields. With appropriate pointer casting, the module's
- internal functions can access these private fields. (For a simple example,
- see jdatadst.c, which implements the external interface specified by struct
- jpeg_destination_mgr, but adds extra fields.)
- (Of course this would all be a lot easier if we were using C++, but we are
- not yet prepared to assume that everyone has a C++ compiler.)
- An important benefit of this scheme is that it is easy to provide multiple
- versions of any method, each tuned to a particular case. While a lot of
- precalculation might be done to select an optimal implementation of a method,
- the cost per invocation is constant. For example, the upsampling step might
- have a "generic" method, plus one or more "hardwired" methods for the most
- popular sampling factors; the hardwired methods would be faster because they'd
- use straight-line code instead of for-loops. The cost to determine which
- method to use is paid only once, at startup, and the selection criteria are
- hidden from the callers of the method.
- This plan differs a little bit from usual object-oriented structures, in that
- only one instance of each object class will exist during execution. The
- reason for having the class structure is that on different runs we may create
- different instances (choose to execute different modules). You can think of
- the term "method" as denoting the common interface presented by a particular
- set of interchangeable functions, and "object" as denoting a group of related
- methods, or the total shared interface behavior of a group of modules.
- *** Overall control structure ***
- We previously mentioned the need for overall control logic in the compression
- and decompression libraries. In IJG implementations prior to v5, overall
- control was mostly provided by "pipeline control" modules, which proved to be
- large, unwieldy, and hard to understand. To improve the situation, the
- control logic has been subdivided into multiple modules. The control modules
- consist of:
- 1. Master control for module selection and initialization. This has two
- responsibilities:
- 1A. Startup initialization at the beginning of image processing.
- The individual processing modules to be used in this run are selected
- and given initialization calls.
- 1B. Per-pass control. This determines how many passes will be performed
- and calls each active processing module to configure itself
- appropriately at the beginning of each pass. End-of-pass processing,
- where necessary, is also invoked from the master control module.
- Method selection is partially distributed, in that a particular processing
- module may contain several possible implementations of a particular method,
- which it will select among when given its initialization call. The master
- control code need only be concerned with decisions that affect more than
- one module.
- 2. Data buffering control. A separate control module exists for each
- inter-processing-step data buffer. This module is responsible for
- invoking the processing steps that write or read that data buffer.
- Each buffer controller sees the world as follows:
- input data => processing step A => buffer => processing step B => output data
- | | |
- ------------------ controller ------------------
- The controller knows the dataflow requirements of steps A and B: how much data
- they want to accept in one chunk and how much they output in one chunk. Its
- function is to manage its buffer and call A and B at the proper times.
- A data buffer control module may itself be viewed as a processing step by a
- higher-level control module; thus the control modules form a binary tree with
- elementary processing steps at the leaves of the tree.
- The control modules are objects. A considerable amount of flexibility can
- be had by replacing implementations of a control module. For example:
- * Merging of adjacent steps in the pipeline is done by replacing a control
- module and its pair of processing-step modules with a single processing-
- step module. (Hence the possible merges are determined by the tree of
- control modules.)
- * In some processing modes, a given interstep buffer need only be a "strip"
- buffer large enough to accommodate the desired data chunk sizes. In other
- modes, a full-image buffer is needed and several passes are required.
- The control module determines which kind of buffer is used and manipulates
- virtual array buffers as needed. One or both processing steps may be
- unaware of the multi-pass behavior.
- In theory, we might be able to make all of the data buffer controllers
- interchangeable and provide just one set of implementations for all. In
- practice, each one contains considerable special-case processing for its
- particular job. The buffer controller concept should be regarded as an
- overall system structuring principle, not as a complete description of the
- task performed by any one controller.
- *** Compression object structure ***
- Here is a sketch of the logical structure of the JPEG compression library:
- |-- Colorspace conversion
- |-- Preprocessing controller --|
- | |-- Downsampling
- Main controller --|
- | |-- Forward DCT, quantize
- |-- Coefficient controller --|
- |-- Entropy encoding
- This sketch also describes the flow of control (subroutine calls) during
- typical image data processing. Each of the components shown in the diagram is
- an "object" which may have several different implementations available. One
- or more source code files contain the actual implementation(s) of each object.
- The objects shown above are:
- * Main controller: buffer controller for the subsampled-data buffer, which
- holds the preprocessed input data. This controller invokes preprocessing to
- fill the subsampled-data buffer, and JPEG compression to empty it. There is
- usually no need for a full-image buffer here; a strip buffer is adequate.
- * Preprocessing controller: buffer controller for the downsampling input data
- buffer, which lies between colorspace conversion and downsampling. Note
- that a unified conversion/downsampling module would probably replace this
- controller entirely.
- * Colorspace conversion: converts application image data into the desired
- JPEG color space; also changes the data from pixel-interleaved layout to
- separate component planes. Processes one pixel row at a time.
- * Downsampling: performs reduction of chroma components as required.
- Optionally may perform pixel-level smoothing as well. Processes a "row
- group" at a time, where a row group is defined as Vmax pixel rows of each
- component before downsampling, and Vk sample rows afterwards (remember Vk
- differs across components). Some downsampling or smoothing algorithms may
- require context rows above and below the current row group; the
- preprocessing controller is responsible for supplying these rows via proper
- buffering. The downsampler is responsible for edge expansion at the right
- edge (i.e., extending each sample row to a multiple of 8 samples); but the
- preprocessing controller is responsible for vertical edge expansion (i.e.,
- duplicating the bottom sample row as needed to make a multiple of 8 rows).
- * Coefficient controller: buffer controller for the DCT-coefficient data.
- This controller handles MCU assembly, including insertion of dummy DCT
- blocks when needed at the right or bottom edge. When performing
- Huffman-code optimization or emitting a multiscan JPEG file, this
- controller is responsible for buffering the full image. The equivalent of
- one fully interleaved MCU row of subsampled data is processed per call,
- even when the JPEG file is noninterleaved.
- * Forward DCT and quantization: Perform DCT, quantize, and emit coefficients.
- Works on one or more DCT blocks at a time. (Note: the coefficients are now
- emitted in normal array order, which the entropy encoder is expected to
- convert to zigzag order as necessary. Prior versions of the IJG code did
- the conversion to zigzag order within the quantization step.)
- * Entropy encoding: Perform Huffman or arithmetic entropy coding and emit the
- coded data to the data destination module. Works on one MCU per call.
- For progressive JPEG, the same DCT blocks are fed to the entropy coder
- during each pass, and the coder must emit the appropriate subset of
- coefficients.
- In addition to the above objects, the compression library includes these
- objects:
- * Master control: determines the number of passes required, controls overall
- and per-pass initialization of the other modules.
- * Marker writing: generates JPEG markers (except for RSTn, which is emitted
- by the entropy encoder when needed).
- * Data destination manager: writes the output JPEG datastream to its final
- destination (e.g., a file). The destination manager supplied with the
- library knows how to write to a stdio stream or to a memory buffer;
- for other behaviors, the surrounding application may provide its own
- destination manager.
- * Memory manager: allocates and releases memory, controls virtual arrays
- (with backing store management, where required).
- * Error handler: performs formatting and output of error and trace messages;
- determines handling of nonfatal errors. The surrounding application may
- override some or all of this object's methods to change error handling.
- * Progress monitor: supports output of "percent-done" progress reports.
- This object represents an optional callback to the surrounding application:
- if wanted, it must be supplied by the application.
- The error handler, destination manager, and progress monitor objects are
- defined as separate objects in order to simplify application-specific
- customization of the JPEG library. A surrounding application may override
- individual methods or supply its own all-new implementation of one of these
- objects. The object interfaces for these objects are therefore treated as
- part of the application interface of the library, whereas the other objects
- are internal to the library.
- The error handler and memory manager are shared by JPEG compression and
- decompression; the progress monitor, if used, may be shared as well.
- *** Decompression object structure ***
- Here is a sketch of the logical structure of the JPEG decompression library:
- |-- Entropy decoding
- |-- Coefficient controller --|
- | |-- Dequantize, Inverse DCT
- Main controller --|
- | |-- Upsampling
- |-- Postprocessing controller --| |-- Colorspace conversion
- |-- Color quantization
- |-- Color precision reduction
- As before, this diagram also represents typical control flow. The objects
- shown are:
- * Main controller: buffer controller for the subsampled-data buffer, which
- holds the output of JPEG decompression proper. This controller's primary
- task is to feed the postprocessing procedure. Some upsampling algorithms
- may require context rows above and below the current row group; when this
- is true, the main controller is responsible for managing its buffer so as
- to make context rows available. In the current design, the main buffer is
- always a strip buffer; a full-image buffer is never required.
- * Coefficient controller: buffer controller for the DCT-coefficient data.
- This controller handles MCU disassembly, including deletion of any dummy
- DCT blocks at the right or bottom edge. When reading a multiscan JPEG
- file, this controller is responsible for buffering the full image.
- (Buffering DCT coefficients, rather than samples, is necessary to support
- progressive JPEG.) The equivalent of one fully interleaved MCU row of
- subsampled data is processed per call, even when the source JPEG file is
- noninterleaved.
- * Entropy decoding: Read coded data from the data source module and perform
- Huffman or arithmetic entropy decoding. Works on one MCU per call.
- For progressive JPEG decoding, the coefficient controller supplies the prior
- coefficients of each MCU (initially all zeroes), which the entropy decoder
- modifies in each scan.
- * Dequantization and inverse DCT: like it says. Note that the coefficients
- buffered by the coefficient controller have NOT been dequantized; we
- merge dequantization and inverse DCT into a single step for speed reasons.
- When scaled-down output is asked for, simplified DCT algorithms may be used
- that emit fewer samples per DCT block, not the full 8x8. Works on one DCT
- block at a time.
- * Postprocessing controller: buffer controller for the color quantization
- input buffer, when quantization is in use. (Without quantization, this
- controller just calls the upsampler.) For two-pass quantization, this
- controller is responsible for buffering the full-image data.
- * Upsampling: restores chroma components to full size. (May support more
- general output rescaling, too. Note that if undersized DCT outputs have
- been emitted by the DCT module, this module must adjust so that properly
- sized outputs are created.) Works on one row group at a time. This module
- also calls the color conversion module, so its top level is effectively a
- buffer controller for the upsampling->color conversion buffer. However, in
- all but the highest-quality operating modes, upsampling and color
- conversion are likely to be merged into a single step.
- * Colorspace conversion: convert from JPEG color space to output color space,
- and change data layout from separate component planes to pixel-interleaved.
- Works on one pixel row at a time.
- * Color quantization: reduce the data to colormapped form, using either an
- externally specified colormap or an internally generated one. This module
- is not used for full-color output. Works on one pixel row at a time; may
- require two passes to generate a color map. Note that the output will
- always be a single component representing colormap indexes. In the current
- design, the output values are JSAMPLEs, so an 8-bit compilation cannot
- quantize to more than 256 colors. This is unlikely to be a problem in
- practice.
- * Color reduction: this module handles color precision reduction, e.g.,
- generating 15-bit color (5 bits/primary) from JPEG's 24-bit output.
- Not quite clear yet how this should be handled... should we merge it with
- colorspace conversion???
- Note that some high-speed operating modes might condense the entire
- postprocessing sequence to a single module (upsample, color convert, and
- quantize in one step).
- In addition to the above objects, the decompression library includes these
- objects:
- * Master control: determines the number of passes required, controls overall
- and per-pass initialization of the other modules. This is subdivided into
- input and output control: jdinput.c controls only input-side processing,
- while jdmaster.c handles overall initialization and output-side control.
- * Marker reading: decodes JPEG markers (except for RSTn).
- * Data source manager: supplies the input JPEG datastream. The source
- manager supplied with the library knows how to read from a stdio stream
- or from a memory buffer; for other behaviors, the surrounding application
- may provide its own source manager.
- * Memory manager: same as for compression library.
- * Error handler: same as for compression library.
- * Progress monitor: same as for compression library.
- As with compression, the data source manager, error handler, and progress
- monitor are candidates for replacement by a surrounding application.
- *** Decompression input and output separation ***
- To support efficient incremental display of progressive JPEG files, the
- decompressor is divided into two sections that can run independently:
- 1. Data input includes marker parsing, entropy decoding, and input into the
- coefficient controller's DCT coefficient buffer. Note that this
- processing is relatively cheap and fast.
- 2. Data output reads from the DCT coefficient buffer and performs the IDCT
- and all postprocessing steps.
- For a progressive JPEG file, the data input processing is allowed to get
- arbitrarily far ahead of the data output processing. (This occurs only
- if the application calls jpeg_consume_input(); otherwise input and output
- run in lockstep, since the input section is called only when the output
- section needs more data.) In this way the application can avoid making
- extra display passes when data is arriving faster than the display pass
- can run. Furthermore, it is possible to abort an output pass without
- losing anything, since the coefficient buffer is read-only as far as the
- output section is concerned. See libjpeg.txt for more detail.
- A full-image coefficient array is only created if the JPEG file has multiple
- scans (or if the application specifies buffered-image mode anyway). When
- reading a single-scan file, the coefficient controller normally creates only
- a one-MCU buffer, so input and output processing must run in lockstep in this
- case. jpeg_consume_input() is effectively a no-op in this situation.
- The main impact of dividing the decompressor in this fashion is that we must
- be very careful with shared variables in the cinfo data structure. Each
- variable that can change during the course of decompression must be
- classified as belonging to data input or data output, and each section must
- look only at its own variables. For example, the data output section may not
- depend on any of the variables that describe the current scan in the JPEG
- file, because these may change as the data input section advances into a new
- scan.
- The progress monitor is (somewhat arbitrarily) defined to treat input of the
- file as one pass when buffered-image mode is not used, and to ignore data
- input work completely when buffered-image mode is used. Note that the
- library has no reliable way to predict the number of passes when dealing
- with a progressive JPEG file, nor can it predict the number of output passes
- in buffered-image mode. So the work estimate is inherently bogus anyway.
- No comparable division is currently made in the compression library, because
- there isn't any real need for it.
- *** Data formats ***
- Arrays of pixel sample values use the following data structure:
- typedef something JSAMPLE; a pixel component value, 0..MAXJSAMPLE
- typedef JSAMPLE *JSAMPROW; ptr to a row of samples
- typedef JSAMPROW *JSAMPARRAY; ptr to a list of rows
- typedef JSAMPARRAY *JSAMPIMAGE; ptr to a list of color-component arrays
- The basic element type JSAMPLE will typically be one of unsigned char,
- (signed) char, or short. Short will be used if samples wider than 8 bits are
- to be supported (this is a compile-time option). Otherwise, unsigned char is
- used if possible. If the compiler only supports signed chars, then it is
- necessary to mask off the value when reading. Thus, all reads of JSAMPLE
- values must be coded as "GETJSAMPLE(value)", where the macro will be defined
- as "((value) & 0xFF)" on signed-char machines and "((int) (value))" elsewhere.
- With these conventions, JSAMPLE values can be assumed to be >= 0. This helps
- simplify correct rounding during downsampling, etc. The JPEG standard's
- specification that sample values run from -128..127 is accommodated by
- subtracting 128 from the sample value in the DCT step. Similarly, during
- decompression the output of the IDCT step will be immediately shifted back to
- 0..255. (NB: different values are required when 12-bit samples are in use.
- The code is written in terms of MAXJSAMPLE and CENTERJSAMPLE, which will be
- defined as 255 and 128 respectively in an 8-bit implementation, and as 4095
- and 2048 in a 12-bit implementation.)
- We use a pointer per row, rather than a two-dimensional JSAMPLE array. This
- choice costs only a small amount of memory and has several benefits:
- * Code using the data structure doesn't need to know the allocated width of
- the rows. This simplifies edge expansion/compression, since we can work
- in an array that's wider than the logical picture width.
- * Indexing doesn't require multiplication; this is a performance win on many
- machines.
- * Arrays with more than 64K total elements can be supported even on machines
- where malloc() cannot allocate chunks larger than 64K.
- * The rows forming a component array may be allocated at different times
- without extra copying. This trick allows some speedups in smoothing steps
- that need access to the previous and next rows.
- Note that each color component is stored in a separate array; we don't use the
- traditional layout in which the components of a pixel are stored together.
- This simplifies coding of modules that work on each component independently,
- because they don't need to know how many components there are. Furthermore,
- we can read or write each component to a temporary file independently, which
- is helpful when dealing with noninterleaved JPEG files.
- In general, a specific sample value is accessed by code such as
- GETJSAMPLE(image[colorcomponent][row][col])
- where col is measured from the image left edge, but row is measured from the
- first sample row currently in memory. Either of the first two indexings can
- be precomputed by copying the relevant pointer.
- Since most image-processing applications prefer to work on images in which
- the components of a pixel are stored together, the data passed to or from the
- surrounding application uses the traditional convention: a single pixel is
- represented by N consecutive JSAMPLE values, and an image row is an array of
- (# of color components)*(image width) JSAMPLEs. One or more rows of data can
- be represented by a pointer of type JSAMPARRAY in this scheme. This scheme is
- converted to component-wise storage inside the JPEG library. (Applications
- that want to skip JPEG preprocessing or postprocessing will have to contend
- with component-wise storage.)
- Arrays of DCT-coefficient values use the following data structure:
- typedef short JCOEF; a 16-bit signed integer
- typedef JCOEF JBLOCK[DCTSIZE2]; an 8x8 block of coefficients
- typedef JBLOCK *JBLOCKROW; ptr to one horizontal row of 8x8 blocks
- typedef JBLOCKROW *JBLOCKARRAY; ptr to a list of such rows
- typedef JBLOCKARRAY *JBLOCKIMAGE; ptr to a list of color component arrays
- The underlying type is at least a 16-bit signed integer; while "short" is big
- enough on all machines of interest, on some machines it is preferable to use
- "int" for speed reasons, despite the storage cost. Coefficients are grouped
- into 8x8 blocks (but we always use #defines DCTSIZE and DCTSIZE2 rather than
- "8" and "64").
- The contents of a coefficient block may be in either "natural" or zigzagged
- order, and may be true values or divided by the quantization coefficients,
- depending on where the block is in the processing pipeline. In the current
- library, coefficient blocks are kept in natural order everywhere; the entropy
- codecs zigzag or dezigzag the data as it is written or read. The blocks
- contain quantized coefficients everywhere outside the DCT/IDCT subsystems.
- (This latter decision may need to be revisited to support variable
- quantization a la JPEG Part 3.)
- Notice that the allocation unit is now a row of 8x8 blocks, corresponding to
- eight rows of samples. Otherwise the structure is much the same as for
- samples, and for the same reasons.
- *** Suspendable processing ***
- In some applications it is desirable to use the JPEG library as an
- incremental, memory-to-memory filter. In this situation the data source or
- destination may be a limited-size buffer, and we can't rely on being able to
- empty or refill the buffer at arbitrary times. Instead the application would
- like to have control return from the library at buffer overflow/underrun, and
- then resume compression or decompression at a later time.
- This scenario is supported for simple cases. (For anything more complex, we
- recommend that the application "bite the bullet" and develop real multitasking
- capability.) The libjpeg.txt file goes into more detail about the usage and
- limitations of this capability; here we address the implications for library
- structure.
- The essence of the problem is that the entropy codec (coder or decoder) must
- be prepared to stop at arbitrary times. In turn, the controllers that call
- the entropy codec must be able to stop before having produced or consumed all
- the data that they normally would handle in one call. That part is reasonably
- straightforward: we make the controller call interfaces include "progress
- counters" which indicate the number of data chunks successfully processed, and
- we require callers to test the counter rather than just assume all of the data
- was processed.
- Rather than trying to restart at an arbitrary point, the current Huffman
- codecs are designed to restart at the beginning of the current MCU after a
- suspension due to buffer overflow/underrun. At the start of each call, the
- codec's internal state is loaded from permanent storage (in the JPEG object
- structures) into local variables. On successful completion of the MCU, the
- permanent state is updated. (This copying is not very expensive, and may even
- lead to *improved* performance if the local variables can be registerized.)
- If a suspension occurs, the codec simply returns without updating the state,
- thus effectively reverting to the start of the MCU. Note that this implies
- leaving some data unprocessed in the source/destination buffer (ie, the
- compressed partial MCU). The data source/destination module interfaces are
- specified so as to make this possible. This also implies that the data buffer
- must be large enough to hold a worst-case compressed MCU; a couple thousand
- bytes should be enough.
- In a successive-approximation AC refinement scan, the progressive Huffman
- decoder has to be able to undo assignments of newly nonzero coefficients if it
- suspends before the MCU is complete, since decoding requires distinguishing
- previously-zero and previously-nonzero coefficients. This is a bit tedious
- but probably won't have much effect on performance. Other variants of Huffman
- decoding need not worry about this, since they will just store the same values
- again if forced to repeat the MCU.
- This approach would probably not work for an arithmetic codec, since its
- modifiable state is quite large and couldn't be copied cheaply. Instead it
- would have to suspend and resume exactly at the point of the buffer end.
- The JPEG marker reader is designed to cope with suspension at an arbitrary
- point. It does so by backing up to the start of the marker parameter segment,
- so the data buffer must be big enough to hold the largest marker of interest.
- Again, a couple KB should be adequate. (A special "skip" convention is used
- to bypass COM and APPn markers, so these can be larger than the buffer size
- without causing problems; otherwise a 64K buffer would be needed in the worst
- case.)
- The JPEG marker writer currently does *not* cope with suspension.
- We feel that this is not necessary; it is much easier simply to require
- the application to ensure there is enough buffer space before starting. (An
- empty 2K buffer is more than sufficient for the header markers; and ensuring
- there are a dozen or two bytes available before calling jpeg_finish_compress()
- will suffice for the trailer.) This would not work for writing multi-scan
- JPEG files, but we simply do not intend to support that capability with
- suspension.
- *** Memory manager services ***
- The JPEG library's memory manager controls allocation and deallocation of
- memory, and it manages large "virtual" data arrays on machines where the
- operating system does not provide virtual memory. Note that the same
- memory manager serves both compression and decompression operations.
- In all cases, allocated objects are tied to a particular compression or
- decompression master record, and they will be released when that master
- record is destroyed.
- The memory manager does not provide explicit deallocation of objects.
- Instead, objects are created in "pools" of free storage, and a whole pool
- can be freed at once. This approach helps prevent storage-leak bugs, and
- it speeds up operations whenever malloc/free are slow (as they often are).
- The pools can be regarded as lifetime identifiers for objects. Two
- pools/lifetimes are defined:
- * JPOOL_PERMANENT lasts until master record is destroyed
- * JPOOL_IMAGE lasts until done with image (JPEG datastream)
- Permanent lifetime is used for parameters and tables that should be carried
- across from one datastream to another; this includes all application-visible
- parameters. Image lifetime is used for everything else. (A third lifetime,
- JPOOL_PASS = one processing pass, was originally planned. However it was
- dropped as not being worthwhile. The actual usage patterns are such that the
- peak memory usage would be about the same anyway; and having per-pass storage
- substantially complicates the virtual memory allocation rules --- see below.)
- The memory manager deals with three kinds of object:
- 1. "Small" objects. Typically these require no more than 10K-20K total.
- 2. "Large" objects. These may require tens to hundreds of K depending on
- image size. Semantically they behave the same as small objects, but we
- distinguish them because pool allocation heuristics may differ for large and
- small objects (historically, large objects were also referenced by far
- pointers on MS-DOS machines.) Note that individual "large" objects cannot
- exceed the size allowed by type size_t, which may be 64K or less on some
- machines.
- 3. "Virtual" objects. These are large 2-D arrays of JSAMPLEs or JBLOCKs
- (typically large enough for the entire image being processed). The
- memory manager provides stripwise access to these arrays. On machines
- without virtual memory, the rest of the array may be swapped out to a
- temporary file.
- (Note: JSAMPARRAY and JBLOCKARRAY data structures are a combination of large
- objects for the data proper and small objects for the row pointers. For
- convenience and speed, the memory manager provides single routines to create
- these structures. Similarly, virtual arrays include a small control block
- and a JSAMPARRAY or JBLOCKARRAY working buffer, all created with one call.)
- In the present implementation, virtual arrays are only permitted to have image
- lifespan. (Permanent lifespan would not be reasonable, and pass lifespan is
- not very useful since a virtual array's raison d'etre is to store data for
- multiple passes through the image.) We also expect that only "small" objects
- will be given permanent lifespan, though this restriction is not required by
- the memory manager.
- In a non-virtual-memory machine, some performance benefit can be gained by
- making the in-memory buffers for virtual arrays be as large as possible.
- (For small images, the buffers might fit entirely in memory, so blind
- swapping would be very wasteful.) The memory manager will adjust the height
- of the buffers to fit within a prespecified maximum memory usage. In order
- to do this in a reasonably optimal fashion, the manager needs to allocate all
- of the virtual arrays at once. Therefore, there isn't a one-step allocation
- routine for virtual arrays; instead, there is a "request" routine that simply
- allocates the control block, and a "realize" routine (called just once) that
- determines space allocation and creates all of the actual buffers. The
- realize routine must allow for space occupied by non-virtual large objects.
- (We don't bother to factor in the space needed for small objects, on the
- grounds that it isn't worth the trouble.)
- To support all this, we establish the following protocol for doing business
- with the memory manager:
- 1. Modules must request virtual arrays (which may have only image lifespan)
- during the initial setup phase, i.e., in their jinit_xxx routines.
- 2. All "large" objects (including JSAMPARRAYs and JBLOCKARRAYs) must also be
- allocated during initial setup.
- 3. realize_virt_arrays will be called at the completion of initial setup.
- The above conventions ensure that sufficient information is available
- for it to choose a good size for virtual array buffers.
- Small objects of any lifespan may be allocated at any time. We expect that
- the total space used for small objects will be small enough to be negligible
- in the realize_virt_arrays computation.
- In a virtual-memory machine, we simply pretend that the available space is
- infinite, thus causing realize_virt_arrays to decide that it can allocate all
- the virtual arrays as full-size in-memory buffers. The overhead of the
- virtual-array access protocol is very small when no swapping occurs.
- A virtual array can be specified to be "pre-zeroed"; when this flag is set,
- never-yet-written sections of the array are set to zero before being made
- available to the caller. If this flag is not set, never-written sections
- of the array contain garbage. (This feature exists primarily because the
- equivalent logic would otherwise be needed in jdcoefct.c for progressive
- JPEG mode; we may as well make it available for possible other uses.)
- The first write pass on a virtual array is required to occur in top-to-bottom
- order; read passes, as well as any write passes after the first one, may
- access the array in any order. This restriction exists partly to simplify
- the virtual array control logic, and partly because some file systems may not
- support seeking beyond the current end-of-file in a temporary file. The main
- implication of this restriction is that rearrangement of rows (such as
- converting top-to-bottom data order to bottom-to-top) must be handled while
- reading data out of the virtual array, not while putting it in.
- *** Memory manager internal structure ***
- To isolate system dependencies as much as possible, we have broken the
- memory manager into two parts. There is a reasonably system-independent
- "front end" (jmemmgr.c) and a "back end" that contains only the code
- likely to change across systems. All of the memory management methods
- outlined above are implemented by the front end. The back end provides
- the following routines for use by the front end (none of these routines
- are known to the rest of the JPEG code):
- jpeg_mem_init, jpeg_mem_term system-dependent initialization/shutdown
- jpeg_get_small, jpeg_free_small interface to malloc and free library routines
- (or their equivalents)
- jpeg_get_large, jpeg_free_large historically was used to interface with
- FAR malloc/free on MS-DOS machines; now the
- same as jpeg_get_small/jpeg_free_small
- jpeg_mem_available estimate available memory
- jpeg_open_backing_store create a backing-store object
- read_backing_store, manipulate a backing-store object
- write_backing_store,
- close_backing_store
- On some systems there will be more than one type of backing-store object.
- jpeg_open_backing_store is responsible for choosing how to implement a given
- object. The read/write/close routines are method pointers in the structure
- that describes a given object; this lets them be different for different object
- types.
- It may be necessary to ensure that backing store objects are explicitly
- released upon abnormal program termination. To support this, we will expect
- the main program or surrounding application to arrange to call self_destruct
- (typically via jpeg_destroy) upon abnormal termination. This may require a
- SIGINT signal handler or equivalent. We don't want to have the back end module
- install its own signal handler, because that would pre-empt the surrounding
- application's ability to control signal handling.
- The IJG distribution includes several memory manager back end implementations.
- Usually the same back end should be suitable for all applications on a given
- system, but it is possible for an application to supply its own back end at
- need.
- *** Implications of DNL marker ***
- Some JPEG files may use a DNL marker to postpone definition of the image
- height (this would be useful for a fax-like scanner's output, for instance).
- In these files the SOF marker claims the image height is 0, and you only
- find out the true image height at the end of the first scan.
- We could read these files as follows:
- 1. Upon seeing zero image height, replace it by 65535 (the maximum allowed).
- 2. When the DNL is found, update the image height in the global image
- descriptor.
- This implies that control modules must avoid making copies of the image
- height, and must re-test for termination after each MCU row. This would
- be easy enough to do.
- In cases where image-size data structures are allocated, this approach will
- result in very inefficient use of virtual memory or much-larger-than-necessary
- temporary files. This seems acceptable for something that probably won't be a
- mainstream usage. People might have to forgo use of memory-hogging options
- (such as two-pass color quantization or noninterleaved JPEG files) if they
- want efficient conversion of such files. (One could improve efficiency by
- demanding a user-supplied upper bound for the height, less than 65536; in most
- cases it could be much less.)
- The standard also permits the SOF marker to overestimate the image height,
- with a DNL to give the true, smaller height at the end of the first scan.
- This would solve the space problems if the overestimate wasn't too great.
- However, it implies that you don't even know whether DNL will be used.
- This leads to a couple of very serious objections:
- 1. Testing for a DNL marker must occur in the inner loop of the decompressor's
- Huffman decoder; this implies a speed penalty whether the feature is used
- or not.
- 2. There is no way to hide the last-minute change in image height from an
- application using the decoder. Thus *every* application using the IJG
- library would suffer a complexity penalty whether it cared about DNL or
- not.
- We currently do not support DNL because of these problems.
- A different approach is to insist that DNL-using files be preprocessed by a
- separate program that reads ahead to the DNL, then goes back and fixes the SOF
- marker. This is a much simpler solution and is probably far more efficient.
- Even if one wants piped input, buffering the first scan of the JPEG file needs
- a lot smaller temp file than is implied by the maximum-height method. For
- this approach we'd simply treat DNL as a no-op in the decompressor (at most,
- check that it matches the SOF image height).
- We will not worry about making the compressor capable of outputting DNL.
- Something similar to the first scheme above could be applied if anyone ever
- wants to make that work.
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