WO2000021199A1 - Procede et dispositif de codage a compression sans perte, et procede et dispositif de decodage a compression sans perte - Google Patents
Procede et dispositif de codage a compression sans perte, et procede et dispositif de decodage a compression sans perte Download PDFInfo
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- WO2000021199A1 WO2000021199A1 PCT/JP1999/005507 JP9905507W WO0021199A1 WO 2000021199 A1 WO2000021199 A1 WO 2000021199A1 JP 9905507 W JP9905507 W JP 9905507W WO 0021199 A1 WO0021199 A1 WO 0021199A1
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- huffman
- decoding
- correlation
- redundant
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Classifications
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- H—ELECTRICITY
- H03—ELECTRONIC CIRCUITRY
- H03M—CODING; DECODING; CODE CONVERSION IN GENERAL
- H03M7/00—Conversion of a code where information is represented by a given sequence or number of digits to a code where the same, similar or subset of information is represented by a different sequence or number of digits
- H03M7/30—Compression; Expansion; Suppression of unnecessary data, e.g. redundancy reduction
- H03M7/40—Conversion to or from variable length codes, e.g. Shannon-Fano code, Huffman code, Morse code
Definitions
- the present invention relates to encoding and compression for transmitting and recording a super-high-density signal far exceeding the sound quality of a compact disc (CD).
- the mouthless compression method first extracts redundant data that depends on the autocorrelation and cross-correlation of the music signal data itself, compresses only the redundant component, and records it for transmission.
- the perceptual coding method achieves high efficiency by using the ambiguity of the human auditory characteristics to allow a large omission of insensitive components (ie, deterioration).
- the latter is commonly used with the former, and is often used for low bit rate communications and package media.
- super audio targeting high-quality sound far exceeding CD is required.
- the former lossless compression method must be used without any loss. Therefore, the following description will be limited to lossless compression.
- the effect of the difference circuit in the prior art is increased by the interaction with the Huffman transform circuit.
- An experimental example will be given. It is generally said that the compression ratio obtained when the audio data is directly converted to Huffman is 90 to 95%. The same data was obtained in the experiment. Also, if the Huffman transform is performed after the difference processing, the compression effect is slightly improved to 85 to 90%.
- the maximum transmission rate specified in the DVD audio format shall be 9.6 Mbps or less.
- the average transmission rate must be 8.47 Mbps or less.
- a predetermined number of input data samples divided at predetermined time intervals are divided into blocks, a correlation between the samples is removed in the block, and a redundant run is performed on the data after the removal.
- the length of the redundant run-length is obtained, the run length of the redundant portion common to each sample of the block is detected, and the common redundant portion is removed from each sample, and the data obtained by removing the common redundant portion is obtained.
- Huffman transform is performed to obtain at least run length information of the common redundant portion and Huffman transform data for each sample.
- the partitioning is performed at predetermined time intervals.
- Block a predetermined number of input data samples that have been cut, remove the correlation between the samples in the block, find the redundant run length of the data after the removal, and find the minimum redundant run length, that is, common to each sample of the block.
- the run length of the redundant portion is detected, the common redundant portion is removed from each sample, and at least code data including the run length information of the common redundant portion and the Huffman transform data for each sample is input.
- a parameter indicating the conversion algorithm is taken out and subjected to Huffman decoding processing, run length information of a common redundant part is taken out, a redundant part is added to the decoded data after the Huffman decoding processing, and correlation decoding is performed.
- the redundancy of the input signal is removed to cut out the redundant portion, and the data is further effectively compressed from the subsequent data by utilizing the bias of the data distribution.
- the information is compressed and transmitted to the information amount close to the information entropy.
- such compressed data is decoded in the reverse order, and the original wideband multi-channel audio data is completely restored without deterioration and output. As a result, complete lossless compression is achieved, and lossless compression codes that can compress transmitted data to 60% or less.
- a Z decoding method and apparatus can be realized.
- a difference between the data predicted by the end instrument or the prediction filter and the actual data, that is, a prediction residual is extracted.
- these predictors or prediction filters consist of integer arithmetic circuits having the same precision as the integer range of the input data or reproduced data.
- the lossless compression encoding device of the present invention includes a plurality of combinations of a correlation removing unit, a common redundant bit removing unit, and a Huffman transform unit, and a plurality of the Huffman transform units.
- a maximum efficiency data output means for selecting and outputting data having a maximum compression efficiency from the data output by the device.
- the maximum efficiency data output means outputs the data of the combination having the maximum efficiency and transmits a parameter indicating the combination having the maximum efficiency.
- the most effective one is detected and selected from among a plurality of correlation removal characteristics.
- the lossless compression coding method and device of the present invention in the Huffman transform, a block having the highest efficiency in a block is selected from a plurality of transform algorithms and used for the transform, and a parameter indicating the algorithm is used. Transmit. Further, in the lossless compression decoding method and apparatus of the present invention, in correlation decoding, the sum of data predicted by a speech predictor or a speech prediction filter and transmission input data is extracted. For example, the local predictor or mouth one local prediction filter consists of integer arithmetic circuit was the same precision as an integer range of playback data u
- a signal having characteristics determined by information transmitted for each block is selected.
- the lossless compression decoding apparatus of the present invention further includes additional information detecting means for detecting additional information attached to the input code data, and the Huffman decoder means includes a plurality of Huffman tables.
- the incidental information detecting means selects one of the plurality of non-operational tables based on the detected incidental information.
- the sample data at the head of a block is set as a linear PCM, so that the speed of recovery from error propagation is increased and the queue Z review for special reproduction of media is performed. Make it easier to hear one playback sound.
- the above-described lossless compression encoding device constitutes a recording device together with a DVD formatter or the like that converts a signal input from the lossless compression encoding device into a DVD format signal.
- the above-mentioned lossless compression / decoding device constitutes a reproducing device together with a DVD deformatter for converting a reproduced signal into predetermined code information.
- An advantage of the mouthless compression code Z decoding method and apparatus according to the present invention is that an enormous amount of information can be compressed without deterioration, and more information can be recorded and reproduced for a longer time.
- FIG. 1 is a block diagram of a mouthless compression code Z decoding method and apparatus according to an embodiment of the present invention.
- FIG. 2 is a block diagram of the correlation removing means.
- FIG. 4 is a block diagram of the Huffman compression means and the maximum efficiency data output means.
- FIG. 5 is a block diagram of a Huffman decoder, a CRB decoder, and auxiliary information detecting means.
- FIG. 7 is a flowchart of a lossless compression code / regorhythm.
- FIG. 8 is a block diagram of a recording / reproducing apparatus provided with a lossless compression code Z decoding apparatus.
- the correlation of the input signal is detected and normalized by the correlation removing unit, the redundant part is removed by the common redundant bit (CRB) removing unit, and the data distribution bias is used by the Huffman compression unit.
- the data is further compressed by the converted data.
- the lossless compression decoding apparatus of the present invention decodes such compressed data in reverse order.
- the Huffman decoder, CRB decoder (common redundant bit addition means), and correlation decoding can transmit, receive, and output the original wideband multichannel audio data without deterioration. As a result, it is possible to compress data to an information amount close to the entropy of the input signal.
- FIG. 1 is a block diagram showing a mouthless compression code Z decoding device according to an embodiment of the present invention.
- the lossless compression encoding device comprises lossless compression encoding means 100 for performing lossless compression encoding, and a DVD formatter means 200 for converting a compressed signal into a DVD format signal.
- the output Z is recorded on a medium. I do.
- the lossless compression encoding means 100 comprises a correlation removing means 110, a common redundant bit (CRB) removing means 120, a Huffman compression means 130, and a maximum efficiency data output means 140.
- the output Y of the lossless compression encoding means 100 is main information, and the output Ysub is also auxiliary information.
- the correlation elimination means 110 normalizes the inherent property of the input signal X, and the property that the frequency spectrum distribution is biased if the correlation is strong between the preceding and following samples.
- correlation between samples includes correlation between channels.
- the properties assumed in advance include the frequency spectrum characteristics and the waveform approximation between channels. In order to normalize these properties, a frequency band filter and a cross filter between channels are used. For simplicity, it is preferable to use integer precision for the filter that has the same range as the integer range of the input data.
- FIG. 2 shows the correlation removing means 110 in detail.
- the correlation removing unit 110 outputs the first-order or fifth-order difference values as prediction residuals. Specifically, five stages of a correlation elimination circuit including a delay unit 1 1 2 1 to 1 1 2 5 as a predictor and a subtractor 1 1 1 1 to 1 1 15 are connected, and the block unit 1 10 By inputting the output of 0, the first- to fifth-order differences (prediction errors) DL1 to DL5 are obtained.
- the delay means may be a prediction filter. Note that the output D L0 of the blocking means 110 is a zero-order signal.
- FIG. 3 shows a block diagram of the common redundant bit (CR R) removing means 120.
- the common redundant bit elimination means 120 in the block, the redundant part of the upper bits of the data, ie, the arrangement of the upper bits of the sample data is "0" or "
- the continuous run of 1 is detected by the redundant bit detection means 1 210.
- the run length LA 0 of the continuous portion common to the sample is detected by the common redundant run length detection means 122 0.
- the main information is delayed by the delay means 123 and blocked. Adjust the internal processing time.
- the common redundant run length detecting means 1220 removes the common redundant bits of the main information by the common redundant bit removing means 1240 using the obtained run length LAO. Reduce word length to an average of 60% for the original word length of 24 bits.
- the shortened data is output as CRB 0, and the common redundant run length LAO is output as a parameter.
- the same processing is performed independently for the signals DL1 to DL5. These data are supplied to the Huffman compression means 130.
- the processing relating to run length may be performed in the same manner as known run length coding.
- FIG. 4 shows an internal block diagram of the Huffman compression means 130.
- the separating means 1300 divides the data into upper 7 bits B0 and lower remaining bits C0, for example. This was done to make the Huffman transform process faster and to simplify the algorithm.
- the upper 7 bits B 0 are variable-length coded using eight types of Huffman conversion tables.
- the Huffman compression means 13100 to 13107 use the bias of the histogram of the data values themselves to assign short-pattern codewords to high-frequency ones and long-pattern codewords to low-frequency ones.
- Output as The lower bits of the individual data are combined with 1100 to 1107 by the combining means 1320 without any processing, and output as HC00 to HCO7.
- the DVD deformatter 400 converts and reproduces the recording signal Z reproduced and transmitted from the DVD media into main information Y and incidental information Ysub, and outputs it to the lossless compression decoding means 500.
- the Huffman decoder 530 selects one of eight types of Huffman tables 532 based on the Huffman table identification parameter HID supplied from the incidental information detecting means 540.
- the Huffman decoder 531 performs decoding conversion using the selected Huffman table. Since the input data is variable-length coded, it is decoded in order from the first bit, and the fixed-length remaining bit data CO is added as it is and combined.
- the word length of the CO is the number of bits obtained by subtracting the common redundant run length LA from the original word length of 24 bits and subtracting 7 bits. As described above, Huffman decoding and remaining bit CO addition are alternately processed.
- the combining means 5 3 3 combines the remaining bits and extracts the combined data CRB of the upper 7 bits and the remaining bits C 0. That is, the Noffman decoder 530 divides the data into upper bits of a part that matches a predetermined conversion pattern and lower parts of the number of bits determined by information transmitted by parameters for each block, Huffman decoding is performed only on the hi part. In this way, the most effective Huffman compression characteristics are detected and selected for each block, so that the compression effect is enhanced, making it optimal for a wide amplitude range from strong silence to climax. Huffman Creates flexibility to select tables.
- the common redundant bit adding means 521 In the CR RB decoder 520, the common redundant bit adding means 521 generates a redundant bit using the common redundant run length LA and adds it to the CR RB. This data is extracted from the CRB decoder 520 as DL. The data D L is supplied to the correlation decoding means 5 10.
- FIG. 7 shows a flowchart of software processing of the lossless compression code.
- the input signal is divided into 2880 block units per channel (S10).
- the data of the ⁇ -th block (S14) in addition to outputting the zero-order output value L 0 ( ⁇ ), the primary difference value D 1 ( ⁇ ) and the secondary difference value D 2 ( ⁇ ) Calculate and output (S16, S18).
- an output sample and a method ID corresponding to the DVD format are generated from the signal Y (n) (S38). This process is repeated until the initial value of ⁇ becomes 1 and ⁇ becomes 2880.
- the process returns to S12 (S22), and the signal of the next block is processed.
- the lossless compression coding method and apparatus provides a method for detecting and normalizing the correlation of an input signal by correlation removal means, removing redundant parts by CRB removal means, u also compress the further data conversion utilizing the bias of the data distribution unit, lossless compression decoding method and apparatus according to the present invention, the Huffman decoder for decoding such compressed data in reverse order, CRB decoder and By correlation decoding, the original wideband multi-channel audio data can be transmitted without deterioration, received and output. As a result, it is possible to compress the information amount close to the entropy of the input signal, thereby increasing the number of modes that can be obtained with DVD audio. In addition, the playback time of DVD audio is greatly lengthened.
Description
Claims
Priority Applications (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
EP99970220A EP1119108A4 (en) | 1998-10-06 | 1999-10-06 | LOSSLESS COMPRESSION CODING METHOD AND DEVICE, AND LOSSLESS COMPRESSION DECODING METHOD AND DEVICE |
US09/806,928 US6420980B1 (en) | 1998-10-06 | 1999-10-06 | Lossless compression encoding method and device, and lossless compression decoding method and device |
JP2000575221A JP3723740B2 (ja) | 1998-10-06 | 1999-10-06 | ロスレス圧縮符号方法とその装置およびロスレス圧縮復号方法とその装置 |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP28368798 | 1998-10-06 | ||
JP10/283687 | 1998-10-06 |
Publications (1)
Publication Number | Publication Date |
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WO2000021199A1 true WO2000021199A1 (fr) | 2000-04-13 |
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ID=17668782
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
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PCT/JP1999/005507 WO2000021199A1 (fr) | 1998-10-06 | 1999-10-06 | Procede et dispositif de codage a compression sans perte, et procede et dispositif de decodage a compression sans perte |
Country Status (5)
Country | Link |
---|---|
US (1) | US6420980B1 (ja) |
EP (1) | EP1119108A4 (ja) |
JP (1) | JP3723740B2 (ja) |
CN (1) | CN1197254C (ja) |
WO (1) | WO2000021199A1 (ja) |
Cited By (1)
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JP2013066115A (ja) * | 2011-09-20 | 2013-04-11 | Yokogawa Electric Corp | 測定データの圧縮方法および測定データの圧縮装置 |
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US7082478B2 (en) * | 2001-05-02 | 2006-07-25 | Microsoft Corporation | Logical semantic compression |
US6762700B2 (en) * | 2001-05-07 | 2004-07-13 | Jiannhwa Sun | NEO method and system for lossless compression and decompression |
DE10208371A1 (de) | 2002-02-27 | 2003-09-11 | Degussa | Dispersion, enthaltend Silicium-Titan-Mischoxidpulver, daraus herstellte Grünkörper und Glasformkörper |
EP2006840B1 (en) | 2002-09-04 | 2012-07-04 | Microsoft Corporation | Entropy coding by adapting coding between level and run-length/level modes |
US7433824B2 (en) * | 2002-09-04 | 2008-10-07 | Microsoft Corporation | Entropy coding by adapting coding between level and run-length/level modes |
US7479905B2 (en) * | 2003-07-28 | 2009-01-20 | International Business Machines Corporation | Apparatus, system and method for data compression using irredundant patterns |
US7724827B2 (en) | 2003-09-07 | 2010-05-25 | Microsoft Corporation | Multi-layer run level encoding and decoding |
JP4037875B2 (ja) * | 2005-02-24 | 2008-01-23 | 株式会社東芝 | コンピュータグラフィックスデータ符号化装置、復号化装置、符号化方法、および、復号化方法 |
US8108219B2 (en) * | 2005-07-11 | 2012-01-31 | Lg Electronics Inc. | Apparatus and method of encoding and decoding audio signal |
US7693709B2 (en) * | 2005-07-15 | 2010-04-06 | Microsoft Corporation | Reordering coefficients for waveform coding or decoding |
US7599840B2 (en) * | 2005-07-15 | 2009-10-06 | Microsoft Corporation | Selectively using multiple entropy models in adaptive coding and decoding |
US7684981B2 (en) * | 2005-07-15 | 2010-03-23 | Microsoft Corporation | Prediction of spectral coefficients in waveform coding and decoding |
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US8599925B2 (en) * | 2005-08-12 | 2013-12-03 | Microsoft Corporation | Efficient coding and decoding of transform blocks |
US7933337B2 (en) * | 2005-08-12 | 2011-04-26 | Microsoft Corporation | Prediction of transform coefficients for image compression |
US7565018B2 (en) * | 2005-08-12 | 2009-07-21 | Microsoft Corporation | Adaptive coding and decoding of wide-range coefficients |
US7720094B2 (en) * | 2006-02-21 | 2010-05-18 | Verso Backhaul Solutions, Inc. | Methods and apparatus for low latency signal aggregation and bandwidth reduction |
US8552891B2 (en) | 2006-05-27 | 2013-10-08 | Samsung Electronics Co., Ltd. | Method and apparatus for parallel data interfacing using combined coding and recording medium therefor |
US8184710B2 (en) * | 2007-02-21 | 2012-05-22 | Microsoft Corporation | Adaptive truncation of transform coefficient data in a transform-based digital media codec |
US7774205B2 (en) * | 2007-06-15 | 2010-08-10 | Microsoft Corporation | Coding of sparse digital media spectral data |
US8179974B2 (en) | 2008-05-02 | 2012-05-15 | Microsoft Corporation | Multi-level representation of reordered transform coefficients |
US8406307B2 (en) | 2008-08-22 | 2013-03-26 | Microsoft Corporation | Entropy coding/decoding of hierarchically organized data |
US8174761B2 (en) * | 2009-06-10 | 2012-05-08 | Universitat Heidelberg | Total internal reflection interferometer with laterally structured illumination |
CN102263560B (zh) * | 2010-05-28 | 2013-11-20 | 富士通株式会社 | 差分编码方法和系统 |
CN107809252B (zh) * | 2017-10-28 | 2021-11-05 | 深圳市睿臻信息技术服务有限公司 | 一种新型24位adpcm音频压缩/解压缩方法 |
CN110868221B (zh) * | 2019-10-31 | 2021-06-25 | 重庆大学 | 一种多模态数据自动压缩方法 |
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1999
- 1999-10-06 JP JP2000575221A patent/JP3723740B2/ja not_active Expired - Fee Related
- 1999-10-06 US US09/806,928 patent/US6420980B1/en not_active Expired - Lifetime
- 1999-10-06 CN CN99811840.0A patent/CN1197254C/zh not_active Expired - Fee Related
- 1999-10-06 WO PCT/JP1999/005507 patent/WO2000021199A1/ja active Application Filing
- 1999-10-06 EP EP99970220A patent/EP1119108A4/en not_active Withdrawn
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Publication number | Publication date |
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CN1197254C (zh) | 2005-04-13 |
EP1119108A1 (en) | 2001-07-25 |
CN1322406A (zh) | 2001-11-14 |
EP1119108A4 (en) | 2002-03-06 |
JP3723740B2 (ja) | 2005-12-07 |
US6420980B1 (en) | 2002-07-16 |
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