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检索条件"主题词=Compression algorithms"

共 2071 条记录，以下是71-80 订阅

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Performance of lossy compression algorithms from statistical and perceptual metrics

Performance of lossy compression algorithms from statistical...

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Annual IEEE Symposium on Computer-Based Medical Systems

作者： Shuyu Yang Xiaoxi Zhang Sunanda Mitra Department of Electrical Engineering Texas Tech University Lubbock TX USA

The performance of compression algorithms is traditionally evaluated by statistical metrics such as mean square error (MSE) and peak signal-to-noise ratio (PSNR). However it is well known that these metrics do not always correlate with visual perception. We have implemented a well known perceptual metric and evaluated the performance of a number of recently developed high fidelity compression algorithms using perceptual as well as statistical metrics. Our preliminary results do not indicate a consistent correlation between the perceptual metric used and subjective ranking.

关键词： Performance loss compression algorithms Image coding Image reconstruction Humans Mean square error methods PSNR Image storage Signal to noise ratio Transform coding

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Design and Analysis of Efficient On-Star compression algorithms for FPGA Platforms

Design and Analysis of Efficient On-Star Compression Algorit...

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Computer, Vision and Intelligent Technology (ICCVIT), International Conference on

作者： Guoliang Zhang Xueying Wang Jianpeng Fan College of Electronic Science and Technology National University of Defense Technology Changsha China

ISBN: (数字)9798331540043

ISBN: (纸本)9798331540050

Image compression has always been a hot topic in the field of aerospace. The onboard processing unit, due to its background of deep space operation, has greatly limited performance in terms of data storage and data transmission. Satellite remote sensing images are developing towards larger size, higher frame frequency, and more frequency bands, which increasingly demand storage space and processing power. There is an urgent need for a set of efficient and lightweight image compression hardware and software. Therefore, in this work, we have improved the Context-Based Adaptive Lossless Image compression (CALIC) algorithm, including error quantization and entropy coding, to meet the requirements for on-orbit processing in terms of compression time and compression ratio. At the same time, aiming at the working scenario of on-orbit processing, we chose Field-Programmable Gate Array (FPGA) as the platform to deploy the improved CALIC and designed the arithmetic coding Av value calculation process in parallel on this basis, which greatly reduced the processing time on the hardware side. We have carried out simulation verification of this paper’s image compression algorithm on the KODAK24 and SZTAKI_Airchange datasets. The experimental results show that our method strikes a good balance between compression ratio and compression rate compared with typical compression algorithms, making it suitable for on-orbit processing scenarios.

关键词： Technological innovation Image coding Quantization (signal) Software algorithms Hardware Software Field programmable gate arrays Remote sensing compression algorithms Arithmetic

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Using Machine Learning to Predict Effective compression algorithms for Heterogeneous Datasets

Using Machine Learning to Predict Effective Compression Algo...

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Data compression Conference (DCC)

作者： Brandon Alexander Burtchell Martin Burtscher Department of Computer Science Texas State University San Marcos TX USA

ISBN: (数字)9798350385878

ISBN: (纸本)9798350385885

Heterogeneous datasets are prevalent in big-data domains. However, compressing such datasets with a single algorithm results in suboptimal compression ratios. This paper investigates how machine-learning techniques can help by predicting an effective compression algorithm for each file in a heterogeneous dataset. In particular, we show how to train a very simple model using nothing but the compression ratios of a few algorithms as features. We named this technique "MLcomp". Despite its simplicity, it is very effective as our evaluation on nearly 9,000 files from a heterogeneous dataset and a library of over 100,000 compression algorithms demonstrates. Using MLcomp to pick one lossless algorithm from this library for each file yields an average compression ratio that is 97.8% of the best possible.

关键词： Machine learning algorithms Data compression Machine learning Prediction algorithms Libraries compression algorithms

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Computing the translation operator for plane wave compression algorithms from sparse samples of the Green function

Computing the translation operator for plane wave compressio...

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Antennas and Propagation Society International Symposium

作者： R.J. Adams Electrical & Computer Engineering University of Kentucky Lexington KY USA

Efficient numerical simulation of integral formulations of electromagnetic radiation and scattering problems requires the use of a compression algorithm for the underlying Green function. If a simulation domain is subdivided into N elements, a traditional discretization of the integral equation leads to a linear system of the form Ax=b where A contains O(N/sup 2/) nonzero elements. Plane wave compression algorithms (PCAs) have been shown to yield an O(N log N) representation of A when the scatterer is large compared to the wavelength. In the following, we consider an alternate development of a PCA for the free-space Green function. In particular, we outline a procedure to compute the translation operator from sparsely sampled values of the Green function. This approach facilitates the efficient application of PCAs to a more general class of Green functions, including the inverse operator.

关键词： compression algorithms Green function Principal component analysis Numerical simulation Electromagnetic radiation Electromagnetic scattering Computational modeling Integral equations Linear systems Geometry

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An introduction of compression algorithms into SSL/TLS and proposal of compression algorithms specialized for application

An introduction of compression algorithms into SSL/TLS and p...

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International Conference on Advanced Information Networking and Applications (AINA)

作者： N. Okamoto S. Kimura Y. Ebihara Graduate School of Systems and Information Engineering University of Tsukuba Japan Institute of Information Sciences and Electronics University of Tsukuba Japan

The specification of SSL/TLS defines that data from the upper layer can be compressed in the record layer before they are encrypted. Since only the no-compression is provided for the compression algorithm in the specification, nobody can compress transmission data at the SSL/TLS protocols unless communication peers have a special agreement to use a compression algorithm. However, the compression mechanism should be useful for the users of narrower bandwidth communication lines such as ordinary analog telephone lines and N-ISDN. In order to solve this problem, the paper first introduces general-purpose compression algorithms into SSL/TLS, and shows that the average transfer times for several Japanese text files via HTTP are much improved, especially for narrow bandwidth communication lines. We also compare it with the compression mechanism on HTTP, and the resulting difference between the results of the SSL/TLS compression and HTTP compression is rather small. For improving the compression ratio, we next propose compression algorithms specialized for application protocols. As examples, we focus to HTTP and HTML, and construct the tree structures of the field names and field values. From the tree, the static dictionaries for the compression algorithms are defined. Finally, we implement the compression algorithms and show the compression ratios when several HTML files are transferred.

关键词： compression algorithms Proposals Cryptography Bandwidth HTML Protocols Telephony Tree data structures Dictionaries Sockets

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Still picture compression algorithms evaluated for international standardisation

Still picture compression algorithms evaluated for internati...

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IEEE Global Telecommunications Conference and Exhibition. Communications for the Information Age

作者： A. Leger J.L. Mitchell Y. Yamazaki CCETT Rennes France Thomas J. Watson Research Center IBM Corporation Yorktown Heights NY USA KDD Kamifukuoka Saitama Japan

Recent activity of an ISO/CCITT working group to produce an excellent coding technique for worldwide still-image telecommunication applications is described. The three techniques considered for final selection are discussed: the adaptive discrete cosine transform (ADCT), adaptive binary arithmetic coding (ABAC), and block-separated component progressive coding (BSPC). Particular emphasis is placed on the selected technique, the ADCT.< >

关键词： compression algorithms Image coding ISDN Spatial resolution Image resolution Graphics Discrete cosine transforms Application software Digital signal processing Visual perception

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Parameters comparison of stored audio/video contents, transcoded using different compression algorithms

Parameters comparison of stored audio/video contents, transc...

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International Symposium on Electronics in Marine (ELMAR)

作者： Pamela Begovic Narcis Behlilovic Aleksandar Mastilovic Faculty of Electrical Engineering University of Sarajevo Bosnia and Herzegovina

Importance of digitalization and compression of AV (audio/video) signals, produced in TV studios, and choose of optimal compression algorithm for different purposes, has been recognized long time ago, and in many countries, TV studios abandoned old analog transmission and storage of analog materials, leaving place for digital signal transmission and storage. In Bosnia and Herzegovina, TV studios are still producing, storing and broadcasting analog PAL signal, but according to recommendation, they should switch to DVB (digital video broadcasting) before 2012. One of DVB applications is VoD (video on demand), witch allows users to request specific AV material, stored on VoD servers, at any time they want. On order to provide that, TV studios must have VoD servers, with stored AV materials, witch they should stream to end users, on their request. Because of the actuality of this problem, the main idea of this paper was to make appropriate software solution for digitalization and trenscoding of analog PAL signal, or transcoding some digital formats, in order to produce AV file with optimal performance, according to QoS and file size, witch should be stored on VoD server. Using developed solutions, different types of compression algorithms, using different video transcoding bit rates, are tested, with the aim to recommend TV stations the solution for storage digital AV signals on VoD servers, with optimal performances, in future DVB network.

关键词： Video compression compression algorithms Digital video broadcasting Material storage Switches Transcoding Network servers TV broadcasting Video on demand Streaming media

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An innovation analysis of LZ77 and LZ78 compression algorithms for Data compression & Source Coding

An innovation analysis of LZ77 and LZ78 Compression Algorith...

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International Conference on Computing and Networking Technology (ICCNT)

作者： Rakesh Kumar Giri Abhinav Mishra Aruna Sri Rongali Laxmi A. Bewoor R Raghavendra M. S. Kavitha Department of Computer Science & Engineering Sunrise University Alwar India Centre of Research Impact and Outcome Chitkara University Rajpura Punjab India Department of Information Technology Emphasis/Technology Software Engineer Ph.D University of The Cumberlands US Department of Computer Engineering Vishwakarma Institute of Technology Pune INDIA College of Computing Sciences And Information Technology Jain (deemed to be) University Bangalore Karnataka India Department of ECER. M. K. Engineering College RSM Nagar Kavaraipettai

ISBN: (数字)9798350370249

ISBN: (纸本)9798350370270

This paper evaluates innovation on two of the most widely used compression algorithms — the LZ77 and the LZ78 algorithms — for information compression and supply coding programs. A detailed assessment of these algorithms presents insights approximately their design philosophy, technical traits, and performance metrics. Additionally, the studies offer a complete overview of their packages and implementations. The paper investigates the prominent considerations for implementing compression algorithms and analyzes their relative blessings and downsides. An exploration of the constraints of every algorithm is likewise undertaken. Furthermore, the research explores distinctive design elements of the algorithms, such as data structure, compression engine, and set of rules optimization. Eventually, the paper assesses the algorithms by reading the exchange-offs between their performance and complexity. This study facilitates practitioners and developers to apprehend the results of using those algorithms for diverse compression and supply coding applications. It can assist practitioners in identifying the first-class compression set of rules for their unique application needs. This paper gives an innovative evaluation of the LZ77 and LZ78 compression algorithms. These algorithms are algorithms designed for statistics compression and source coding. They’re used to take a given series of characters (or bits) and encode them right into an area-green representation. The innovation evaluation presents a valuable perception of how the algorithms improve compression ratios and shop area. It also discusses the effect of positive parameters such as window length, repeat cycle, and buffer size on compression efficiency. ultimately, the paper will speak to future studies’ challenges in this region and the capability packages of those algorithms.

关键词： Measurement Technological innovation Image coding Codes Philosophical considerations Source coding Green products Approximation algorithms compression algorithms Optimization

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ZipChannel: Cache Side-Channel Vulnerabilities in compression algorithms

ZipChannel: Cache Side-Channel Vulnerabilities in Compressio...

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International Conference on Dependable Systems and Networks (DSN)

作者： Marina Minkin Baris Kasikci University of Michigan University of Washington

ISBN: (数字)9798350341058

ISBN: (纸本)9798350341065

While cache side-channel attacks have been known for over a decade, attacks and defenses have been mostly limited to cryptographic algorithms. In this work, we analyze the security of compression algorithms and their susceptibility to cache side-channels. We design TaintChannel, a tool that automatically detects cache side-channel vulnerabilities and apply the tool to compression software to conduct a study of vulnerabilities in popular compression algorithms—LZ77, LZ78, BWT—and their mainstream implementations. We discover that the implementation of all of these algorithms leak some or all of their input data via cache side-channels. This is concerning, as compression algorithms are widely used in software that operates on sensitive data (e.g., HTTPS). We demonstrate the practicality of these vulnerabilities via two end-to-end attacks on Bzip2. These attacks work in two different threat models and use different attack techniques. Our first attack targets compression within an SGX enclave using the Prime+Probe cache attack technique and extracts the entire input while it is being compressed with an accuracy greater than 99%. Because existing cache attack techniques fall short in targeting applications with larger memory footprint such as compression software, we develop new attack techniques for larger buffers. Our second attack works in the threat model when one application attacks a different application. It allows the attacker to identify which file is being compressed out of multiple options.

关键词： Threat modeling Accuracy Software algorithms Side-channel attacks Software compression algorithms

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How to measure arithmetic complexity of compression algorithms: a simple solution

How to measure arithmetic complexity of compression algorith...

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IEEE International Conference on Multimedia and Expo (ICME)

作者： J. Reichel M.J. Nadenau Signal Processing Laboratory Swiss Federal Institute of Technology Lausanne Switzerland

Image compression techniques appear to have matured during the past few years. Differences between the compression performance of different algorithms are very small. The key differences are now features such as embedded coding, regions of interest coding, bitstream manipulation or error resilience. However, there is one major difference present but only rarely discussed: algorithmic complexity. It can correspond to the number of arithmetic operations, memory demands and bandwidth or simply the difficulty of implementation. The performance of image compression algorithms are generally presented in terms of PSNR relative to the possible bitrates. It is interesting to consider a similar relationship in terms of complexity. Unfortunately the term complexity itself is not well defined. In this paper a methodology to measure arithmetic complexity (and eventually other types of complexity) of a complete compression algorithm is presented. The model is then applied to the ISO standard JPEG encoder.

关键词： Arithmetic compression algorithms Image coding Signal processing algorithms Transform coding Bandwidth Bit rate Discrete cosine transforms ISO standards Laboratories

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