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检索条件"主题词=Compression algorithms"

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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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ECG compression using multilevel thresholding of wavelet coefficients

ECG compression using multilevel thresholding of wavelet coe...

引用

Intelligent Sensors, Sensor Networks and Information Processing Conference (ISSNIP)

作者： M. Sharafat Hossain Tareq Aziz M. A. Haque Department of EEE Dhaka University of Engineering and Technology Bangladesh Department of EEE American International University-Bangladesh Bangladesh Department of EEE Bangladesh University of Engineering and Technology Bangladesh

A wavelet-based electrocardiogram (ECG) compression algorithm is proposed in this paper. The proposed algorithm reduces the bit rate of ECG and preserves its main clinically diagnostic features intact by minimizing reconstructed signal distortion. The original signal is divided into blocks and each block goes through a discrete wavelet transform. A threshold based on energy packing efficiency of the wavelet coefficients is used to threshold the wavelet coefficients. To assess the proper applicability of the proposed technique we have evaluated the effect of threshold level selection on the quality of the reconstructed signal. To generalize the proposed method, the technique is tested for the compression of a large set of normal and abnormal ECG signals extracted from MIT-BIH database. The performance parameters of the compression algorithm are measured and an average compression ratio of 13.57 with percent root mean square difference (PRD) of 4.87 is achieved. This technique outperforms the recently published ones in most of the data sets of MIT-BIH database.

关键词： Electrocardiography Wavelet coefficients compression algorithms Discrete wavelet transforms Databases Bit rate Distortion Testing Data mining Root mean square

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An Efficient Data compression Algorithm for Semantic-Based Ubiquitous Computing Applications

An Efficient Data Compression Algorithm for Semantic-Based U...

引用

International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies (UBICOMM)

作者： Michele Ruta Tommaso Di Noia Eugenio Di Sciascio Floriano Scioscia Politecnico di Bari Bari Italy

We present an efficient compression algorithm specifically devised and implemented to reduce size of document instances expressed in various ontological languages, and specifically targeted at DIG 1.1 syntax. Motivation derives from a widespread exploitation of Knowledge Representation formalisms in innovative ubiquitous computing contexts. In carried out tests, the compressor we present showed better compression rates than currently available general-purpose XML compression tools.

关键词： Data compression Ubiquitous computing Wireless sensor networks XML Radiofrequency identification Mobile computing Mobile communication Bandwidth compression algorithms Context

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A High compression Algorithm for Video Stream

A High Compression Algorithm for Video Stream

引用

Congress on Image and Signal Processing, CISP

作者： Wei-feng Liu Ji-li Lu Zeng-fu Wang Hua-jun Song Xue-zheng Han College of Information and Control Engineering China University of Petroleum Dongying China Zaozhuang University Zaozhuang China Department of Automation University of Science and Technology Hefei Anhui China

To reduce the temporal redundancy in video frame sequence for the similarity between the current and the prior image, a new video coding algorithm based on zero-tree wavelet with extremely high compression is presented in this paper. A new scheme is presented which employs adaptive strategy based on different motion detected in frame sequence. With the algorithm we have realized the real-time compression of video streams with high fidelity.

关键词： compression algorithms Video compression Streaming media Image coding Motion detection Signal processing algorithms Decoding Video sequences Wavelet transforms Arithmetic

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A survey of on-board image compression for CNES space missions

A survey of on-board image compression for CNES space missio...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： C. Lambert-Nebout G. Moury CNES Toulouse France

Images acquired on board spacecraft represent in most cases very large volumes of data. It is then necessary to store these data and to transmit them to ground. It is essential to reduce to a minimum the on-board storage capacity and the on-board transmission rate. On board image compression is advantageous for two main reasons: 1) the steady performance improvements of compression algorithms, and 2) the availability in recent years, for spaceborne applications, of highly integrated custom circuits (ASIC technology) which makes it possible to implement, in high pixel rate systems, sophisticated real-time compression schemes. The authors focus on lossy compression algorithms used for CNES space missions. Such a typical image coder has three basic components: a transformation, a quantizer and data coding. In lossy compression the reconstructed image contains degradations relative to the original. As a result, much higher compression can be achieved as compared to lossless compression. More compression is obtained at the expense of more distortion. In order to be acceptable, these degradations (image quality) must be compatible with all the potential uses of the images. It is then very important to consider the whole image chain (from the sensor to the on-ground post-processing) to optimize image compression and for each space mission it is necessary to solve the trade-off between image quality versus compression ratio.

关键词： Image coding Space missions compression algorithms Degradation Image quality Space vehicles Availability Application specific integrated circuits Integrated circuit technology Space technology

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Enhancing data migration performance via parallel data compression

Enhancing data migration performance via parallel data compr...

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International Symposium on Parallel and Distributed Processing (IPDPS)

作者： Jonghyun Lee M. Winslett Xiaosong Ma Shengke Yu Department of Computer Science University of Illinois Urbana-Champaign IL USA

Scientific simulations often produce large volumes of output that are moved to another platform for visualization or storage. This long-distance migration is slow due to the data size and slow network. compression can improve migration performance by reducing the data size, but compression is computation-intensive and so can raise costs. In this work, we show how to reduce data migration cost by incorporating compression into migration. We analyze eight scientific data sets, and propose three approaches for parallel compression of scientific data. Our results show that with reasonably fast processors and typical parallel configurations, the compression cost for large scientific data is outweighed by the performance gain obtained by migrating less data. We found that a client-side compression approach (CC) can improve I/O and migration performance by an order of magnitude. In our experiments, CC always matches or outperforms migration without compression when we overlap migration with computation, even for not very compressible dense floating point data. We also present a variant of CC that is well suited for use with implementations of two-phase I/O.

关键词： Data compression Computational modeling Data visualization Costs Analytical models Workstations Bandwidth Supercomputers compression algorithms Internet

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Data compression techniques for maps

Data compression techniques for maps

引用

IEEE Southeastcon

作者： M.Y. Jaisimha H. Potlapalli H. Barad A.B. Martinez M.C. Lohrenz J. Ryan J. Pollard Electrical Engineering Tulane University New Orleans LA USA Naval Ocean Research & Development Activity J. C. Stennis Space Center MS USA Planning Systems Inc.orporated Slidell LA USA

The efficiencies of various data-compression techniques as applied to color maps are compared. These color maps have certain special characteristics, such as large homogeneous regions, and fine detail, such as lines and lettering. The color maps are first classified using the K-means clustering algorithm with neighborhood classification. Three techniques are investigated, namely, contour, quadtree, and run-length coding. The run-length coding algorithm is modified to allow wrap-around of runs. A modification of the standard binary image quadtree compression algorithm for color images is introduced. In quadtree coding a modified eldest-son eldest-younger-sibling quadtree is used to reduce the memory requirement for storing the quadtree. Lempel-Ziv compression is applied to the classified and unclassified images as well as to the output of the compression algorithms. The algorithms are compared on the compression ratios achieved. The exponential behavior of the histogram of the runs indicates that runs of short run length have higher probability. Accordingly, Huffman coding of the runs would result in more efficient bit assignment and hence greater compression ratios.< >

关键词： Data compression Image coding compression algorithms Pixel Oceans Vector quantization Color Image converters Image processing Binary trees

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Investigating Randomness of the LZSS compression Algorithm

Investigating Randomness of the LZSS Compression Algorithm

引用

International Conference on Computer Science and Service System (CSSS)

作者： Weiling Chang Xiaochun Yun Nanning Li Xiuguo Bao National Computer Network and Information Security Management Center Beijing China

ISBN: (纸本)9781467307215

Random Number Generators play a critical role in a number of important applications. In practice, statistical testing is employed to gather evidence that a generator indeed produces numbers that appear to be random. In this paper, we address the issue on the random property of compressed data via LZSS compression algorithm. Our test results suggest that the output of LZSS has bad randomness. We also investigate the randomization methods using the LZSS. A pseudo-random sequence generator (PRNG), L12RC4, inspired by the LZSS compression algorithm and RC4 stream cipher, was presented and implemented. The result of the NIST and Diehard test suite indicate that the L12RC4 is a good PRNG, and so it seems to be sound and may be suitable for use in some cryptographic applications. We also found that the probability distribution of the index value frequency is associated with the compression pass and INDEX_BIT_COUNT value. As for one pass mode, the greater INDEX_BIT_COUNT value, the more uniformly distributed, and the double pass mode has better uniformity than the one pass mode.

关键词： Generators NIST Indexes Probability distribution Cryptography compression algorithms Data compression

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Identifying Image compression Methods Using Vision Transformers

Identifying Image Compression Methods Using Vision Transform...

引用

Telecommunications Forum (TELFOR)

作者： Emir Öztürk Computer Engineering Department Trakya University Edirne Turkiye

ISBN: (数字)9798350391060

ISBN: (纸本)9798350391077

Image compression uses various lossy methods, each creating different distortions. Understanding these distortions is key for optimizing image enhancement and steganography, as they affect quality and detectability. Detection of compression algorithms is essential especially when file extensions are altered. This study presents a method for identifying compression algorithms - JPEG, AVIF, HEIC, and WebP, using a fine-tuned vision transformer model. The model achieved 98% validation and 99% test accuracy and shows premising results.

关键词： Q-factor Steganography Computer vision Image coding Image resolution Transform coding Distortion Transformers Image enhancement compression algorithms

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Research the compression and Transmission Technology of Medical Image Base on the Remote Consultation

Research the Compression and Transmission Technology of Medi...

引用

International Conference on Bioinformatics and Biomedical Engineering (ICBBE)

作者： Yu-Zeng Wang Shi-Chao Geng Yu-Jun Fan Zhi-Quan Feng School of Mechanical Engineering University of JinanJinan China Jinan Danjier Electronic LtdJinan China School of Information University of JinanJinan China

The compression and transmission of medical image are the two key technology to realize the remote consultation system. It takes much energy in compression and transmission of medical image. Image collection, the ROI compression algorithm and JPEG2000, color image processing, and the network transmission technology based on TCP/IP are discussed in detail. It can realize the conversation function using HDP protocol. Using the technology of TCP/IP protocol and multi-thread it finished the image transmission function. It is difficult to make the image both seen by sender and receiver same in general transmission. So it takes all those technologies to send the whole image after compression the collection image, in order to avoid the different phenomenon. And it can transmit rapidly and steadily in some local region image. The remote consultation system called RDS2000 is developed successfully based those technologies. The system integrates the functions of video communication, character communication, image communication and remote control, and meanwhile it also verifies the validity and dependability of those technologies.

关键词： Image coding Biomedical imaging TCPIP Protocols Image communication compression algorithms Transform coding Color Image converters Video compression

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