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检索条件"主题词=compression algorithms"

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Practical implementation of the lossless compression algorithm

Practical implementation of the lossless compression algorit...

引用

compression and Complexity of Sequences Proceedings

作者： G. Khachatrian A. Andreasyan Institute for Problem of Informatics and Automation The National Academy of Sciences of the Republic of Armenia Yerevan Armenia

A combination of the LZ78 method with a new scheme of model contexting is introduced. In the proposed scheme the hashing function is also used. This approach speeds up the searching process and has an improvement over... 详细信息

关键词： compression algorithms Context modeling Encoding Dictionaries Laboratories Informatics Automation Testing

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A first step toward chromosome analysis by compression algorithms

A first step toward chromosome analysis by compression algor...

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International Symposium on Intelligence in Neural and Biological Systems, INBS

作者： E. Rivals J. Delahaye M. Dauchet O. Delgrange L.I.F.L. Université de Lille 1 Villeneuve d'Ascq France Service Informatique Université de Mons-Hainaut Mons Belgium

The authors use Kolmogorov complexity and compression algorithms to study DOS-DNA (DOS: defined ordered sequence). This approach gives quantitative and qualitative explanations of the regularities of apparently regular regions. The authors present the problem of the coding of approximate multiple tandem repeats in order to obtain compression. Then the authors describe an algorithm that allows one to find efficiently approximate multiple tandem repeats. Finally, the authors briefly describe some of their results.< >

关键词： Biological cells Algorithm design and analysis compression algorithms Sequences DNA Genomics Bioinformatics Humans Diseases Systematics

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Thresholding wavelets for image compression

Thresholding wavelets for image compression

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compression and Complexity of Sequences Proceedings

作者： M.G. Albanesi Dipartimento di Informatica e Sistemistica University of Pavia Pavia Italy

The paper addresses the problem of thresholding wavelet coefficients in a transform-based algorithm for still image compression. Processing data before the quantization phase is a crucial step in a compression algorithm, especially in applications which require high compression ratios. In the paper, after a review on the applications of wavelets to image compression, a new solution to the problem of an accurate choice of thresholds is presented. It is based on the concept of local contrast and exploits the localization properties of wavelets and a maximization of the entropy to find the optimal threshold for the wavelet coefficients. The results are compared with standard thresholding techniques which do not include considerations about local distribution of pixel information within the image. At the end, examples of compression are given, where the algorithm includes the complete processing of transform coefficients (thresholding, quantization and coding).

关键词： Image coding Wavelet transforms Wavelet analysis Wavelet coefficients Quantization Digital filters Filter bank compression algorithms Entropy Pixel

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compression of ultrasonic RF data

Compression of ultrasonic RF data

引用

IEEE Symposium (IUS) Ultrasonics

作者： A. Pesavento V. Burow H. Ermert Department of Electrical Engineering Ruhr University of Bochum Bochum Germany

A compression algorithm is presented, which utilizes the special properties of ultrasonic radio frequency (RF) data. The compression is done in two steps: First, linear predictive coding (LPC) is applied, using an one-step-predictor. Further, the remaining error of the prediction is stored using only the necessary word length to store the signal. A lossy extension of the algorithm is presented, which stores only the upper bits of the error signal. The algorithm has been tested with both, data of a speckle phantom and in vivo data. The data could be compressed to approximately 30-55% of the original data size using the lossless algorithm. In comparison, a conventional compression tool achieves 65-75 % of the original data size.

关键词： Radio frequency Entropy Digital systems Dynamic range compression algorithms Speckle Imaging phantoms Image coding Linear predictive coding Testing

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OPENPRESS-open distributed assessment platform for still image compression schemes

OPENPRESS-open distributed assessment platform for still ima...

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IEEE International Workshop on Software Engineering for Parallel and Distributed Systems

作者： P. Pagny M.C. Hohenadel Swiss Center for Scientific Computing Manno Switzerland

Performance comparison between image compression methods is an activity difficult to realise because of the few standard environments for validation. The objective of this paper is to present OPENPRESS as a single open platform for validation allowing the integration of most of the current and future image compression methods, to facilitate their comparison and validation on a common and coherent set of reference images. Another goal of OPENPRESS is to ensure a broad distribution of these compression methods to the potential users. For that purpose, the proposed environment involves advanced computer science techniques like distributed computing, platform-independent software engineering, client/server decomposition, etc.

关键词： Image coding Distributed computing Computer networks Testing Computer science Fractals compression algorithms PSNR Scientific computing Electrostatic precipitators

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A DCT-based adaptive compression algorithm customized for radar imagery

A DCT-based adaptive compression algorithm customized for ra...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： A. Andreadis G. Benelli A. Garzelli S. Susini Department of Information Engineering University of Sienna Siena Italy

An adaptive DCT-based image compression algorithm for radar images is proposed, tested and compared to JPEG and to classical coding algorithms for remote sensing imagery. The Modified Adaptive Discrete Cosine Transform (MADCT) scheme is proposed, which allows one to classify each image block by means of a threshold criterion based on AC and DC activity. The strategy of transmission of the DCT coefficients, the recovering process of blocks incorrectly discarded, and the bit-allocation phase have been properly designed to provide high compression of two classes of images: X-band real-aperture radar images for ship traffic control, and SAR images for browsing applications. The experimental results, in terms of PSNR and compression ratio, prove the superiority of the novel scheme with respect to standard coding techniques.

关键词： compression algorithms Image coding Radar imaging Radar remote sensing Discrete cosine transforms Testing Transform coding Remote sensing Radar applications Marine vehicles

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Experiments in simple one-dimensional lossy image compression schemes

Experiments in simple one-dimensional lossy image compressio...

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IEEE International Conference on Multimedia Computing and Systems (ICMCS)

作者： J. Modayil H. Cheng Xiaobo Li Department of Computing Science University of Alberta Canada

The paper examines some one-dimensional lossy image compression schemes. To perform one-dimensional compression, an image is scanned into a one-dimensional array which is then compressed. Three types of scanning are considered: raster scan, Hilbert scan, and binary scan. Hilbert and binary scan are found to outperform raster scan. The methods considered for compression are integer wavelet transforms, a piecewise approximation with triggers (PAT) procedure introduced by Walach and Karnin (1986), and a modified PAT algorithm (MPAT). Wavelets outperform MPAT in compression, and MPAT in turn outperforms PAT; however, MPAT and PAT are computationally far simpler than wavelet transforms.

关键词： Image coding Wavelet transforms Hilbert space Approximation algorithms Digital images Image converters compression algorithms Data engineering Councils Scholarships

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Check image compression: a comparison of JPEG, wavelet and layered coding methods

Check image compression: a comparison of JPEG, wavelet and l...

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IEEE International Conference on Image Processing

作者： Jincheng Huang Yao Wang E.K. Wong Department of Electrical Engineering Polytechnic University Brooklyn NY USA Department of Computer and Information Science Polytechnic University Brooklyn NY USA

An emerging trend in the banking industry is to digitize checks for storage and transmission. An immediate requirement for efficient storage and transmission is check image compression. General purpose compression algorithms such as JPEG and wavelet-based methods produce annoying ringing and blocking artifacts at high compression ratios. A layered approach to check image compression is proposed, based on which a check image is represented in several layers. The first layer describes the foreground map; the second layer specifies the gray levels of foreground pixels; the third layer is a lossy representation of the background image; and the fourth layer describes the error between the original and the reconstructed image based on the first three layers. The layered coding approach produces images of better quality than traditional JPEG and wavelet coding methods, especially in the foreground, i.e., the text and graphics. In addition, this approach allows progressive retrieval or transmission of different image layers.

关键词： Image coding Transform coding Image storage Image segmentation compression algorithms Pixel Image reconstruction Gray-scale Banking Graphics

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An adaptive silence deletion algorithm for compression of telephone speech

An adaptive silence deletion algorithm for compression of te...

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IEEE Pacific Rim Conference on Communications, Computers and Signal Processing

作者： C. Loo R.W. Donaldson Department of Electrical and Computer Engineering University of British Columbia Canada

The ever-increasing volume of speech generated for transmission and storage motivates a continuing search for an improved cost-effective means to effectively compress speech. Earlier work by various researchers has resulted in various compression algorithms. Of particular interest to us are those waveform compression techniques utilizing the principle of silence deletion developed by Gan (1988) and by Rose (1991) which was implemented on good quality speech signals. We further modify, optimize and evaluate these waveform compression algorithms, and test their viability and performance on noisy speech from actual telephone circuits. The results show that up to 50% compression of continuous speech is achievable at an acceptable level of playback quality.

关键词： Telephony compression algorithms Circuit testing Speech enhancement Detectors Gallium nitride Circuit noise Speech analysis Bandwidth Sampling methods

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Analysis by synthesis ECG signal compression

Analysis by synthesis ECG signal compression

引用

Computers in Cardiology (CinC)

作者： Y. Zigel A. Cohen A. Abu-Ful A. Wagshal A. Katz Department of Electrical & Computer Engineering Ben-Gurion University of the Negev Beersheba Israel Cardiology Division Soroka Medical Center Faculty of Health Sciences Ben-Gurion University of the Negev Beersheba Israel

The authors introduce a new ECG compression algorithm, and a new distortion measure. The distortion measure, called the Weighted Diagnostic Distortion (WDD), is based on comparing PQRST complex features (such as: RR interval, QT interval, ST elevation, etc.) of the original ECG signal and the reconstructed one. The compression algorithm is based on analysis by synthesis coding. It consists of a beat codebook, long and short term predictors, and an adaptive residual quantizer. The compression algorithm uses the WDD measure in order to encode, by means of analysis by synthesis, every beat of the original ECG signal. The compression algorithm has been applied to the MIT-BIH Arrhythmia Database. A rate of approximately 100 bits per second has been achieved with a very good quality (WDD below 4%, and PRD below 8%).

关键词： Signal analysis Signal synthesis Electrocardiography Distortion measurement compression algorithms Algorithm design and analysis Weight measurement Cardiology Biomedical engineering Medical diagnostic imaging

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