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检索条件"主题词=Arithmetic coding"

共 492 条记录，以下是411-420 订阅

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A VLSI architecture for high performance CABAC encoding

A VLSI architecture for high performance CABAC encoding

引用

Conference on Visual Communications and Image Processing 2005

作者： Shojania, H Sudharsanan, S Queens Univ Dept Elect & Comp Engn Kingston ON Canada

ISBN: (纸本)0819459763

One key technique for improving the coding efficiency of H.264 video standard is the entropy coder, contextadaptive binary arithmetic coder (CABAC). However the complexity of the encoding process of CABAC is significantly higher than the table driven entropy encoding schemes such as the Huffman coding. CABAC is also bit serial and its multi-bit parallelization is extremely difficult. For a high definition video encoder, multi-giga hertz RISC processors will be needed to implement the CABAC encoder. In this paper, we provide an efficient, pipelined VLSI architecture for CABAC encoding along with an analysis of critical issues. The solution encodes a binary symbol every cycle. An FPGA implementation of the proposed scheme capable of 104 Mbps encoding rate and test results are presented. An ASIC synthesis and simulation for a 0.18 mu m process technology indicates 2 that the design is capable of encoding 190 million binary symbols per second using an area of 0.35 mm(2).*

关键词： H.264 CABAC arithmetic coding VLSI.

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Combined data encryption and compression using chaos functions

Combined data encryption and compression using chaos functio...

引用

7th Conference on Mathematics of Data/Image coding, Compression, and Encryption

作者： Bose, R Pathak, S Indian Inst Technol Dept Elect Engn New Delhi 110016 India

ISBN: (纸本)0819454990

Past research in the field of cryptography has not given much consideration to arithmetic coding as a feasible encryption technique, with studies proving compression-specific arithmetic. coding to be largely unsuitable for encryption. Nevertheless, adaptive modelling, which offers a huge model, variable in structure, and as completely as possible a function of the entire text that has been transmitted since the time the model was initialised, is a suitable candidate for a possible encryption-compression combine. The focus of the work presented in this paper has been to incorporate recent results of chaos theory, proven to be cryptographically secure, into arithmetic coding, to devise a convenient method to make the structure of the model unpredictable and variable in nature, and yet to retain, as far as is possible, statistical harmony, so that compression is possible. A chaos-based adaptive arithmetic coding-encryption technique has been designed, developed and tested and its implementation has been discussed. For typical text files, the proposed encoder gives compression between 67.5% and 70.5%, the zero-order compression suffering by about 6% due to encryption, and is not susceptible to previously carried out attacks on arithmetic coding algorithms.

关键词： symmetric key cryptography variable model arithmetic coding chaos compression encryption

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Enhanced renormalization algorithm in MQ-coder of JPEG2000

Enhanced renormalization algorithm in MQ-coder of JPEG2000

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International Symposium on Information Technology Convergence

作者： Min, Byungjun Yoon, Sook Ra, Jungjin Park, Dong Sun Mokpo Natl Univ Coll Engn Sch Informat Engn Choongnam Peoples R China Chonbuk Natl Univ Coll Engn Div Elect & Informat Engn Jeonju South Korea

ISBN: (纸本)9780769530451

JPEG2000 is the latest still-image coding standard. It was designed to overcome the limitation of the original JPEG standard and provide high quality images at low bit rates. The JPEG2000 algorithm is fundamentally based on the Discrete Wavelet Transform (DWT) and Embedded Block coding with Optimal Truncation (EBCOT). Both algorithms are computation- and memory- intensive. JPEG2000 uses an adapted version of Q-coder, called MQ-coder. Pervious researches mainly focused on speeding up the DWT and BPC other than renormalization part of MQ-coder. Renormalization procedure in MQ-coder contributes to the computation in relatively high percentage. In this paper, we propose an enhanced renormalization algorithm for arithmetic coding in EBCOT Tier-1 coding procedure. By analyzing and simplifying the existing algorithm, the proposed algorithm can reduce the computation with a significant percentage. Experimental results show that the computation is reduced approximately 25% comparing to the renormalization procedure of the regular arithmetic coding.

关键词： JPEG renormalisation arithmetic coding algorithms Image quality EBCOT Speeding

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Safe Software Processing by Concurrent Execution in a Real-Time Operating System

Safe Software Processing by Concurrent Execution in a Real-T...

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International Conference on Applied Electronics

作者： Raab, Peter Kraemer, Stefan Mottok, Juergen Meier, Hans Racek, Stanislav Regensburg Univ Appl Sci Fac Elect & Informat Technol Seybothstr 2 D-93053 Regensburg Germany Univ West Bohemia Fac Sci Appl Plzen 30614 Czech Republic

ISBN: (纸本)9788070439876

The requirements for safety-related software systems increases rapidly. To detect arbitrary hardware faults, there are applicable coding mechanism, that add redundancy to the software. In this way it is possible to replace conventional multi-channel hardware and so reduce costs. arithmetic codes are one possibility of coded processing and are used in this approach. A further approach to increase fault tolerance is the multiple execution of certain critical parts of software. This kind of time redundancy is easily realized by the parallel processing in an operating system. Faults in the program flow can be monitored. No special compilers, that insert additional generated code into the existing program, are required. The usage of multi-core processors would further increase the performance of such multi-channel software systems. In this paper we present the approach of program flow monitoring combined with coded processing, which is encapsulated in a library of coded data types. The program flow monitoring is indirectly realized by means of an operating system.

关键词： program flow software process improvement real time operating system parallel execution Software systems Operating systems arithmetic coding redundancy Multi-core processors PARALLEL PROCESSING (COMPUTERS) Fault tolerance computer software

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Compression Scheme for RFID Equipment

Compression Scheme for RFID Equipment

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IEEE International Conference on Electro Information Technology (EIT)

作者： Wiseman, Yair Holon Inst Technol Dept Comp Sci Holon Israel

ISBN: (纸本)9781467399852

EPC tags for RFID were designed to accommodate a diversity of many potential possibilities. The generously allocations for the each of the fields in the EPC tags caused these tags to be inefficient, because their size is too large. To facilitate shorter EPC tags, an effective compression scheme for EPC tags is suggested with the aim of transmission of fewer bits by RFID equipment.

关键词： Electronic Product Code (EPC) RFID Compression arithmetic coding

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ERROR RESILIENT JPEG2000 DEcoding FOR WIRELESS APPLICATIONS

ERROR RESILIENT JPEG2000 DECODING FOR WIRELESS APPLICATIONS

引用

15th IEEE International Conference on Image Processing (ICIP 2008)

作者： Zezza, Simone Martina, Maurizio Masera, Guido Nooshabadi, Saeid Politecn Torino VLSI Lab I-10129 Turin Italy Gwangju Inst Sci & Tech Dept Info Com Gwangju 500712 South Korea

ISBN: (纸本)9781424417650

To improve the JPEG2000 compression standard error resiliency in the wireless environment, the use of ternary MQ arithmetic coders/decoders that are based on the concept of forbidden symbol has been proposed. This paper presents two ternary MQ based techniques to reduce both the computational complexity and the memory requirement during the decoding process, with no or little degradation in the PSNR.

关键词： arithmetic coding JPEG2000 wireless multimedia communications

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Lossless Information Hiding Scheme Based on Pixels Complexity Analysis

Lossless Information Hiding Scheme Based on Pixels Complexit...

引用

IEEE International Conference on Signal Image Technology and Internet Based Systems

作者： Lu, Tzu-Chuen Huang, Cheng-Chun Chaoyang Univ Technol Dept Informat Management Taichung 41349 Taiwan

ISBN: (纸本)9780769531229

This paper proposes an effective lossless information hiding scheme, in which a host image is quantized firstly to generate spare spaces for hiding secret messages. The proposed scheme applies the complexity analysis of neighboring pixels to predict the number of secret message bits concealed in a pixel. In addition, it reserves the differences between the host image and the quantized image for completely restoring the host image. According to the experimental results, the information capacity of the proposed scheme is 0.9 bpp for the standard Lena while that of Maniccam and Bourbakis's scheme is 0.3 bpp.

关键词： lossless information hiding arithmetic coding reversible data embedding

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Lossless and nearly-lossless compression of multispectral SPOT images

引用

Conference on Nonlinear Image Processing IX

作者： Mozelle, G Zaharia, T Preteux, F Cabot, F Inst Natl Telecommun Dept Signal & Image F-91011 Evry France

ISBN: (纸本)0819427446

In this paper, we address the problem of lossless and nearly-lossless multispectral compression of remote-sensing data acquired using SPOT satellites. Lossless compression algorithms classically have two stages: Transformation of the available data, and coding. The purpose of the first stage is to express the data as uncorrelated data in an optimal way. In the second stage, coding is performed by means of an arithmetic coder. In this paper, we discuss two well-known approaches for spatial as well as multispectral compression of SPOT images: 1) The efficiency of several predictive techniques (MAP, CALIC, 3D predictors), are compared, and the advantages of 2D versus 3D error feedback and context modeling are examinated;2) The use of wavelet transforms for lossless multispectral compression are discussed. Then, applications of the above mentionned methods for quincunx sampling are evaluated. Lastly, some results, on how predictive and wavelet techniques behave when nearly-lossless compression is needed, are given.

关键词： lossless and nearly-lossless multispectral image compression 2D and 3D predictive techniques, JPEG-LS context modeling arithmetic coding wavelet transforms

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High-Throughput and Hardware-Efficient Architecture of MQ arithmetic Coder

High-Throughput and Hardware-Efficient Architecture of MQ Ar...

引用

11th IEEE Singapore International Conference on Communication Systems

作者： Wang, Rui Li, Bo Jiang, Hongxu Cao, Haiheng BUAA Sch Comp Sci & Engn Digital Media Lab Beijing 100191 Peoples R China

ISBN: (纸本)9781424424238

Because of the feedback loops caused by iterative operations, MQ arithmetic coder usually acts as the performance bottleneck of the hardware architecture for JPEG2000 algorithm. According to the different features of the loops, this paper adopts different optimizing methods rather than general concurrent techniques to improve the hardware efficiency as well as throughput. Based on careful analysis of data dependency, circuit-level optimizations such as assistant loops, inverse multi branches selection (IMBS) are used to improve clock frequency. For the low hardware utilization caused by variable features of inside dataflow, reorganization of dataflow is performed and both the hardware-efficiency and the throughput are improved. The implementation result shows that the throughput of our design can exceed those based on traditional concurrent techniques. Moreover, the hardware utilization is much higher than exiting architectures.

关键词： JPEG2000 arithmetic coding MQ Hareware Architecture Hardware efficiency

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Gmm-based entropy-constrained vector quantization

Gmm-based entropy-constrained vector quantization

引用

32nd IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Zhao, David Y. Samuelsson, Jonas Nilsson, Mattias KTH Royal Inst Technol Sch Elect Engn S-10044 Stockholm Sweden

ISBN: (纸本)1424407281

In this paper, we present a scalable entropy-constrained vector quantizer based on Gaussian mixture models (GMMs), lattice quantization, and arithmetic coding. We assume that the source has a probability density function of a GMM. The scheme is based on a mixture component classifier, the Karhunen Loeve transform of the component, followed by a lattice quantization. The scalar elements of the quantized vector are entropy coded using a specially designed arithmetic coder. The proposed scheme has a computational complexity that is independent of rate, and quadratic with respect to vector dimension. The design is flexible and allows for adjusting the desired target rate on-the-fly. We evaluated the performance of the proposed scheme on speech-derived source vectors. It was demonstrated that the proposed scheme outperforms a fixed-rate GMM based vector quantizer, and performs closely to the theoretical optimum.

关键词： entropy constrained vector quantizer (ECVQ) lattice Gaussian mixture model (GMM) arithmetic coding

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