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检索条件"主题词=entropy coding"

共 1287 条记录，以下是141-150 订阅

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Context-based entropy coding of VQ indexes

Context-based entropy coding of VQ indexes

引用

IEEE International Symposium on Information Theory

作者： Xiaolin Wu Jiang Wen Wai-Yin Ng Department of Information Engineering Chinese University of Hong Kong Hong Kong China

Limited by the inherent computational intractability of vector quantization in dimensions, practical VQ coders all employ signal blocks of rather modest sizes, failing to capture all higher-order statistical dependency. Therefore, context-based, adaptive entropy coding of VQ indexes can significantly reduce the bit rate of VQ coders for a given distortion.

关键词： entropy coding Image coding Bit rate Context modeling Quantization Random processes Pixel Source coding Bayesian methods Computational efficiency

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A study of a lossless image compression algorithm using adaptive prediction and context-based entropy coding

A study of a lossless image compression algorithm using adap...

引用

European Signal Processing Conference (EUSIPCO)

作者： Guang Deng La Trobe University Melbourne VIC AU

In this paper a context based lossless image compression algorithm is presented. It consist of an adaptive median-FIR predictor, a conditional context based error feed back process and a new error representation. The prediction error is encoded by a context-based arithmetic encoder. Experimental results show that for a set of 18 images of different kinds, the compression performance of the proposed algorithm is very close to that of CALIC and is better than LOCO and S+P. This paper also presents an algorithmic study of the proposed algorithm. The contribution of each of the building blocks to the compression performance is studied. It has been shown that these building blocks can be incorporated into further development of lossless image compression algorithms.

关键词： Image coding Context Prediction algorithms Feeds IIR filters Quantization (signal) entropy coding

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Probability interval partitioning entropy coding using systematic variable-to-variable length codes

Probability interval partitioning entropy coding using syste...

引用

IEEE International Conference on Image Processing

作者： Heiner Kirchhoffer Detlev Marpe Christian Bartnik Anastasia Henkel Mischa Siekmann Jan Stegemann Heiko Schwarz Thomas Wiegand Image Processing Department Fraunhofer Institute for Telecommunications Heinrich Hertz Institute Berlin Germany Image Communication Chair School of EE & CS Berlin Institute of Technology Berlin Germany

The recently emerging probability interval partitioning entropy (PIPE) coding scheme offers high coding efficiency at a comparably low complexity level. In this paper, a new set of systematic variable-to-variable length (v2v) codes is proposed for use within the PIPE coding concept that allows the complexity requirements to be reduced even further. The proposed systematic v2v codes can be efficiently implemented by using simple counters instead of memory consuming tables. At the same time, the average number of operations per decoded binary symbol can be reduced by more than a factor of 2 relative to a fast multiplication-free binary arithmetic decoder. In terms of coding efficiency, experimental results show that in a typical video coding environment the average Bjontegaard delta (BD) rate increase is typically less than 0.5% when compared to the use of nearly optimal binary arithmetic codes.

关键词： Decoding Systematics Image coding entropy coding Delay Complexity theory

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Lookahead search for lossy context-based adaptive entropy coding

Lookahead search for lossy context-based adaptive entropy co...

引用

IEEE International Conference on Image Processing

作者： R. Singh A. Ortega Integrated Media Systems Center Department of Electrical Engineering-Systems University of Southern California Los Angeles CA USA

We motivate the need for lookahead search in a context-based entropy coder. An efficient algorithm based on modeling of the context coder as a finite state machine is presented. A key contribution of this paper is the use of the per survivor processing (PSP) principle to enable a lookahead search in scenarios where adaptive entropy coding is used. Our results show that lookahead searches based on PSP result in performance improvements over traditional schemes.

关键词： entropy coding Quantization Context modeling Image coding Cost function Rate distortion theory Automata Arithmetic Code standards Data engineering

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A model for entropy coding in matching pursuit

A model for entropy coding in matching pursuit

引用

IEEE International Conference on Image Processing

作者： M. Gharavi-Aikhansari Beckman Inst. for Adv. Sci. & Technol. Illinois Univ. Urbana IL USA

Matching pursuit is a powerful and flexible optimisation technique that has found applications in different areas, including image and video compression. This paper proposes an underlying probabilistic model for the entropy coding of the parameters generated by the matching pursuit algorithm in the context of image coding. It also distinguishes between orthogonal and fully-orthogonal matching pursuit, and provides a formulation for rate-distortion optimized matching pursuit.

关键词： entropy coding Matching pursuit algorithms Libraries Least squares approximation Pursuit algorithms Rate-distortion Greedy algorithms Vectors Context modeling Image coding

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Adaptive entropy coding with (5, 3) DWT for H.264 lossless image coding

Adaptive entropy coding with (5, 3) DWT for H.264 lossless i...

引用

IEEE Region 10 International Conference TENCON

作者： Jun-Ren Ding Jar-Ferr Yang Institute of Computer and Communication Engineering Department of Electrical Engineering National Cheng Kung University Tainan Taiwan

Lossless image coding is a important research field for multimedia store and digital library. H.264 provides a better compression rate than the JPEG-LS based on intra prediction and entropy coding (CABAC and CAVLC). In this paper, we suggest that entropy coding should be adaptively adopted for various image content variations(ICV) to increase H.264-LS compression rate. The ICV is obtained by existing intra prediction residue values in our proposed method. In the meantime, we add the (5, 3) discrete wavelet transform (DWT) for higher ICV images after executing 4times4 intra prediction to increase H.264-LS compression rate again. Simulation results show that using the adaptive entropy coding has 97% correct rate and 8.7% compression rate improvement than used single entropy coding. If add the (5, 3) DWT filtering again, we can at least obtain 2.3% compression rate than the adaptive entropy coding.

关键词： entropy coding Discrete wavelet transforms Image coding Video coding Automatic voltage control Discrete cosine transforms Pulse modulation Software libraries Adaptive filters Filtering

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Two-layer and adaptive entropy coding algorithms for H.264-based lossless image coding

Two-layer and adaptive entropy coding algorithms for H.264-b...

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Jun-Ren Ding Jiun-Yu Chen Fu-Chun Yang Jar-Ferr Yang Institute of Computer and Communication Engineering Department of Electrical Engineering National Cheng Kung University Tainan Taiwan

In this paper, we propose two-layer coding algorithm to improve the performance of the H.264-based lossless (H.264-LS) image coding. From universal access point of view, the proposed method is based on the H.264 lossy image coding with other CABAC layer to compensate the lossy portion. Besides, the H.264-LS with DPCM (H264-LS_DPCM) and H.264-LS achieve different coding performance in use of CABAC and CAVLC entropy coders without the DCT and quantization. We further suggest an adaptive entropy coding (AEC) algorithm to determine the best entropy coder by using the image content variations, which is calculated from the sum of absolute difference of intra prediction. Simulation results show that the proposed AEC method have good correct detection rates and improvement of compression rate for H.264-LS and H.264-LS_DPCM coders. The two-layer H.264-LS almost have the same compression rate than the H.264-LS_DPCM.

关键词： entropy coding Image coding Propagation losses Image storage Performance loss Video coding Discrete cosine transforms Pulse modulation Automatic voltage control Quantization

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High-order entropy coding of medical image data using different binary-decomposed representations

High-order entropy coding of medical image data using differ...

引用

International Conference on Signal Processing Proceedings (ICSP)

作者： S.S. Yu N.P. Galatsanos AT and T Bell Laboratories Inc. Naperville IL USA

Information theory indicates that the coding efficiency can be improved by utilizing high-order entropy coding (HOEC). However, serious implementation difficulties limit the practical value of HOEC for grayscale image compression. We present a new approach, called binary-decomposed (BD) high-order entropy coding, that significantly reduces the complexity of the implementation and increases the accuracy in estimating the statistical model. In this approach a grayscale image is first decomposed into a group of binary sub-images, each corresponding to one of the gray levels. When HOEC is applied to these sub-images instead of the original image, the subsequent coding is made simpler and more accurate statistically.

关键词： entropy coding Biomedical imaging Image coding Gray-scale Statistics Information theory Probability Performance loss Bit rate Costs

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A novel DCT-based bit plane error resilient entropy coding scheme and codec for wireless image communication

A novel DCT-based bit plane error resilient entropy coding s...

引用

IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Yew-San Lee Cheng-Mou Yu Hung-Kuo Wei Yen-Hsu Shih Chen-Yi Lee Department of Electronics Engineering National Chiao Tung University Hsinchu Taiwan

ISBN: (纸本)0780374487

We propose a novel bit plane error resilient entropy coding scheme for DCT-based image compression, which can control and minimize the error propagation effect. The compressed rate is similar to the JPEG standard. However, it uses only 18 VLC symbols. Hardware implementation cost and power consumption can then be minimized. Base on simulation results, the proposed coding scheme can achieve high image quality (PSNR=29.82 dB) even at bit error rate of 10/sup -3/. An image codec has been implemented for verifying the proposed bit-plane EREC coding technique. It can compress and decompress CIF size (352/spl times/288, 4:2:0 format) images at the rate of 30 frames per second using 20 MHz clock rate. It only occupies 36 k gate count and 1.90/spl times/1.90 mm/sup 2/ silicon area in a 0.35 /spl mu/m CMOS process. With 3.3 V power supply, the simulated power consumption is only 27 mWatt and 0.41 mA/MHz. This performance can meet various wireless portable multimedia system requirements.

关键词： entropy coding Codecs Wireless communication Image communication Image coding Error correction Energy consumption Communication system control Transform coding Hardware

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A New Waveform Speech entropy coding Method

A New Waveform Speech Entropy Coding Method

引用

International Conference on Multimedia Information Networking and Security (MINES)

作者： Feng Mu Fangqiang Hu Weibo Zhong Nanjing University of Technology NanJing China

In this paper, a completely new waveform speech coding method with named as the half-wave speech entropy coding is presented. Two different approaches are proposed to generate the voiced and the unvoiced codebooks respectively. In addition, the theory of coding and decoding is shown. The result of the experiment shows that the coding method is an effective waveform coding with the benefits of low complexity, high compression rate, low bit rate and good speech quality. These benefits make the new method a competitive candidate for speech coding.

关键词： Speech coding entropy coding Bit rate Decoding Speech analysis Frequency Books Information security Costs Acoustic noise

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