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IEEE-IMS Workshop on Information Theory and Statistics

作者： A.T. Murgan R. Radescu Applied Electronics Department University Politehnica Bucharest Romania

Lempel-Ziv-Welch methods and their variations are all based on the principle of using a prescribed parsing rule to find duplicate occurrences of data and encoding the repeated strings with some sort of special code word identifying the data to be replaced. This paper includes a general presentation of five existing lossless compression methods used in any application of digital signal processing. The comparisons are made experimentally by computer simulation.

关键词： Data compression Signal processing algorithms Testing Encoding Computer simulation Application software Digital signal processing compression algorithms Computational modeling Performance evaluation

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HIGH-QUALITY AUDIO TRANSFORM CODING AT 64-KBPS

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IEEE TRANSACTIONS ON COMMUNICATIONS 1994年第11期42卷 3010-3019页

作者： MAHIEUX, Y PETIT, JP Centre National d''Etudes Des Telecommunications Lannion France

This paper presents a transform coding algorithm devoted to high quality audio coding at a bit rate of 64 kbps per monophonic channel. It enables the transmission of a high quality stereo sound through the basic access (2B channels) of ISDN. Although a complete system including framing, synchronization and error correction has been developed, only the bit rate compression algorithm is described here. A detailed analysis of the signal processing techniques such as the time/frequency transformation, the pre-echo reduction by adaptive filtering, the fast algorithm computations, etc., is provided. The use of psychoacoustical properties is also precisely reported. Finally, some subjective evaluation results and one real time implementation of the coder using the ATT DSP32C digital signal processor are presented.

关键词： Transform coding Signal processing algorithms Bit rate Audio coding ISDN Frequency synchronization Error correction compression algorithms Signal analysis Algorithm design and analysis

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DEVELOPMENT OF AN EXPERIMENTAL FULL DIGITAL HDTV SYSTEM - ALGORITHM AND IMPLEMENTATION

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IEEE TRANSACTIONS ON CONSUMER ELECTRONICS 1994年第3期40卷 234-242页

作者： JEONG, JC PARK, YJ JO, JM YIM, MS MOON, HH KIM, SB YU, PH KANG, HS AHN, WY Signal Processing Laboratories Samsung Electronics Company Limited Suwon South Korea

This paper describes the algorithm and implementation of an experimental full-digital HDTV system we have recently developed. The video compression algorithm is based on motion-compensated DCT without B (bidirectional prediction) frames and the audio compression is based on subband analysis/synthesis technique. The algorithms have commonalties with international standards such as MPEG, with some additional features. The system has been implemented using off-the-shelf IC's and programmable logic devices, and provides a fairly good video/audio quality (28-38 dB peak-to-peak signal-to-noise ratio for video) despite relatively low complexity.

关键词： compression algorithms international standardisation Audio compression HDTV system algorithms Programmable logic devices Videotapes Moving Pictures Experts Group

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Spatial and spectral decorrelation of lossless data compression for LANDSAT-TM imagery

Spatial and spectral decorrelation of lossless data compress...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Shouwen Tang Jinfei Wang Kaizhong Zhang Department of Computer Science Beijing Computer Institute Beijing China Department of Geography University of Windsor Windsor ONT Canada Department of Computer Science University of Western Ontario London ONT Canada

ISBN: (纸本)0780314972

Presents a spatial and spectral decorrelation scheme for lossless data compression of remotely sensed imagery. The statistical properties of Landsat-TM data are investigated. Measurements of the statistical information indicate that some bands have strong spectral correlation which can be used for interband prediction or spectral decorrelation; whereas other bands may be most suitable for spatial decorrelation within single band. Experiments show that data compression has been improved using both spatial and spectral nature of the remotely sensed data.< >

关键词： Decorrelation Data compression Satellites Remote sensing Image coding Least squares methods Computer science Multispectral imaging compression algorithms Entropy

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A rapidly adaptive lossless compression algorithm for high fidelity audio coding

A rapidly adaptive lossless compression algorithm for high f...

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Data compression Conference (DCC)

作者： T. Shamoon C. Heegard School of Electrical Engineering Cornell University Ithaca NY USA

A new adaptive algorithm for lossless compression of digital audio is presented. The algorithm is derived from ideas from both dictionary coding and source-modeling. An adaptive Lempel-Ziv (1977) style fixed dictionary coder is used to build a source model that fuels an arithmetic coder. As a result, variable length strings drawn from the source alphabet are mapped onto variable length strings that are on average shorter. The authors show that this algorithm outperforms arithmetic coding or Lempel-Ziv coding working alone on the same source (in their experiments the source is an ADPCM quantizer). Adaptation heuristics for the Lempel-Ziv coder, relevant data structures, and a discussion of audio source modeling (entropy estimation) experiments are described. While the algorithm presented herein is designed to be used as a post-compressor in a lossy audio transform coding system, it is well suited for any instance where non-stationary source outputs must be compressed.< >

关键词： compression algorithms Audio coding Entropy Bit rate Audio compression Frequency Adaptive algorithm Dictionaries Arithmetic Transform coding

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An efficient algorithm for hierarchical compression of video

An efficient algorithm for hierarchical compression of video

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IEEE International Conference on Image Processing

作者： M. Vishwanath P. Chou Xerox Palo Alto Research Center Palo Alto CA USA

This paper addresses the problem of collaborative video over "heterogeneous" networks. Current standards for video compression are not designed to deal with this problem. We define an additional set of metrics (i.e., in addition to the standard rate versus distortion measure) to evaluate compression algorithms for this application. We then present an efficient algorithm for video compression in such an environment. The algorithm is a novel combination of the discrete wavelet transform and hierarchical vector quantization. It is unique in that both the encoder and the decoder are implemented with only table lookups and are amenable to efficient software and hardware solutions.< >

关键词： Video compression Discrete wavelet transforms Collaboration Measurement standards Rate distortion theory Distortion measurement compression algorithms Vector quantization Decoding Table lookup

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Lossless data compression in real time

Lossless data compression in real time

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Asilomar Conference on Signals, Systems & Computers

作者： F. Livingston N. Magotra W. McCoy S. Stearns Department of EECE University of New Mexico Albuquerque NM USA Department 9311 Sandia National Laboratories Albuquerque NM USA

This paper describes the research effort currently in progress to develop lossless data compression algorithms for seismic, speech, and image data sets. For many applications, such as transmitting and archiving research data bases, using lossy compression algorithms is not advisable. In situations where critical data (e.g. research instrumentation) is to be transmitted or archived, a real time lossless data compression algorithm is desirable. It presents a version of the algorithm using a recursive least squares a priori adaptive lattice structure followed by an arithmetic coding stage. The real time effectiveness of this algorithm is being verified by coding the technique to run on a TMS320C3x card custom developed for our applications.< >

关键词： Data compression Equations Lattices Least squares methods Speech Propagation losses Testing Laboratories compression algorithms Encoding

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MPEG2 Video Codec Using Image compression DSP

MPEG2 Video Codec Using Image Compression DSP

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IEEE International Conference on Consumer Electronics (ICCE)

作者： T. Akiyama H. Aono K. Aoki K.W. Ler B. Wilson T. Araki T. Takahashi H. Takeno C. Boon A. Sato S. Nakatani K. Horiike T. Senoh Audio Video Information Technology Laboratory Corporate Product Development Division Matsushita Elecrric Indusrrial Company Limited Japan Matsushita Research Institute Tokyo Inc. Japan Audio Video and Information Research Center Asia Matsushita Singapore Singapore Semiconductor Research Center Matsushita Elecrric Indusrrial Company Limited Japan

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Whole body PET image compression

Whole body PET image compression

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IEEE Symposium on Nuclear Science (NSS/MIC)

作者： M. Dahlbom K.A. Gardner A. Chatziioannou C.K. Hoh Division of Nuclear Medicine Department of Molecular and Medical PharmacologyCrump Institute for Biochemical Imaging UCLA School of Medicine Los Angeles CA USA

A major difficulty in providing rapid transfer of whole body PET (WB-PET) images to referring physicians at remote hospitals is the large size of the data set. A WB-PET study contains typically over 400 images, or over 35 Mbyte of data. Using standard high speed modems (14.4 kbps) and fast communication protocols, a transfer time of 7-8 hrs/study is required. To reduce the transfer time, a means of compressing the data is necessary. Due to the relatively high noise levels in WB-PET images, conventional error-free compression algorithms provides little or no compression. The compression can be improved by processing the image data prior to compression. In this work, different pre-processing approaches are evaluated as well as different compression algorithms. By removing all negative values, who carries little or no diagnostic information, the compression is slightly improved. A more significant improvement was achieved by masking the transaxial images such that all pixel elements located outside the body contour are set to zero. Three different masking schemes based on geometrical shapes (circular, rectangular and elliptical) were evaluated. In addition, a masking scheme based on transmission images was also investigated. Using the transmission image mask, with negative value removal, and an efficient error-free compression algorithm, compressions of up to 1:7 were obtained, with no loss in image information.< >

关键词： Whole-body PET Image coding compression algorithms Hospitals Communication standards Modems Protocols Noise level Pixel Shape

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Band ordering in lossless compression of multispectral images

Band ordering in lossless compression of multispectral image...

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Data compression Conference (DCC)

作者： S.R. Tate Department of Computer Sciences University of North Texas Denton TX USA

The author has extensively studied the benefits and problems associated with reordering the bands of a multispectral image for performing lossless compression. Under a reasonable model of inter-band prediction, he has shown how to efficiently compute the optimal compression band ordering. In addition, he has formalized the restrictions that arise when bands need to be extracted individually from a compressed archive, and has shown that computing the optimal ordering under these restrictions is NP-hard, except in the most simple case.< >

关键词： Image coding Multispectral imaging Earth Observing System Satellites NASA compression algorithms Data mining Timing Testing Performance evaluation

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