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Data Compression Conference (DCC)

作者： Paridaens, Tom Panneel, Jens De Neve, Wesley Lambert, Peter Van de Walle, Rik IMinds Ghent Univ Data Sci Lab Sint Pietersnieuwstr 41 B2 B-9000 Ghent Belgium GUGC K Ctr Biotech Data Sci Songdomunhwa Ro 119 Inchon 305701 South Korea

ISBN: (纸本)9781509018536

In previous work, the authors developed a modular no-reference framework that compresses FASTA files by applying a predict-and-residue method, as used in video coding. We extended this framework with support for Context-Adaptive Binary arithmetic coding (CABAC), while at the same time preserving random access functionality and offering support for the full IUB/IUPAC nucleic acid codes alphabet. © 2016 IEEE.

关键词： arithmetic coding compression Genomic Data

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Effective Lossless Compression of Sensor Information in Manufacturing Industry 42

Effective Lossless Compression of Sensor Information in Manu...

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IEEE 42nd Conference on Local Computer Networks (IEEE LCN)

作者： Sparka, Hagen Naumann, Roman Dietzel, Stefan Scheuermann, Bjoern Humboldt Univ Berlin Germany

ISBN: (纸本)9781509065226

In recent years, many visions for hitherto considered-futuristic computing applications gained momentum. The vision of smart factories is one example for these trends, which all share a common requirement: the prolific dissemination of sensor information. As wireless communication in smart factories needs to cope with harsh environments, the amount of sensor information produced by sources will likely surpass the communication channel's available capacity. This discrepancy calls for efficient communication and filtering protocols, as well as compression mechanisms, as a foundation for dependable applications. We propose such a compression algorithm that is lossless and tailored towards the requirements of the manufacturing industry. Our algorithm employs a two-step stochastic model that uses lossy compression to extract an approximation from the signal and a separate noise model to accommodate the remaining error. Evaluation results validate that our algorithm achieves better compression rates than existing approaches for several types of real world sensor data from the industry.

关键词： arithmetic coding Compression entropy industrial wireless sensor networks injection molding

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SOFM AND VECTOR QUANTIZATION FOR IMAGE COMPRESSION BY COMPONENT: REVIEW

SOFM AND VECTOR QUANTIZATION FOR IMAGE COMPRESSION BY COMPON...

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International Conference on Smart Computing and Electronic Enterprise (ICSCEE)

作者： Hilles, Shadi M. S. Al Madinah Int Univ Fac Comp & Informat Technol Dept Comp Sci Kuala Lumpur Malaysia

ISBN: (纸本)9781538648384

this paper present artificial neural network using SOFM and vector quantization (VQ) which has gained many research concentration and importance to improve the image quality after lossless comfpression to reduce image size. The aim of this research is to investigate image compressing using SOFM 2D K-Map with vector quantization methods and arithmetic coding of lossless compression methods, SOFM and VQ are adopted technique to improve the image compression effective. However, this paper proposed and investigated SOFM based on VQ by components, the proposed new approach which provide pre-processing for subsampling into high-pass filter and low-pass filter, low pass-filter subsampling goes immediately to lossless compressing for entropy coding and as presented here is used arithmetic coding, and high-pass filter to vectorization image block then to vector quantization using SOFM. The investigation shows there are many methods used types of filters as first stage of pre-processing in image compression before entropy.

关键词： compression vector quantization Self-Organization Feature Map (SOFM) arithmetic coding band-pass filter

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Improvement of Security and Feasibility for Chaos-Based Multimedia Cryptosystem

Improvement of Security and Feasibility for Chaos-Based Mult...

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11th International Conference on Computational Science and Its Applications (ICCSA)

作者： Chen, Jianyong Zhou, Junwei Shenzhen Univ Dept Comp Sci & Technol Shenzhen 518060 Peoples R China

ISBN: (纸本)9783642218989

Nonlinear dynamic filter (NDF) has been used in chaos-based multimedia cryptosystem. However, our study shows that the key of randomized arithmetic coding (RAC) based on NDF can be successfully recovered under chosen plaintext attack. Moreover, current ciphertext block can't be decoded unless preceding plaintext is available. In order to enhance the security and feasibility used in multimedia applications, the algorithm is improved by building a new correlation between ciphertext and coefficients. Its security is enhanced that can effectively resist chosen plaintext attack. Its feasibility is also improved that can decode ciphertext block without availability of preceding plaintext with which a user can play multimedia data starting at any place. The analysis and simulations show that the improved algorithm can evidently enhance both security and feasibility

关键词： Chaos Cryptography Security arithmetic coding

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PERMUTATION CODES AND STEGANOGRAPHY

PERMUTATION CODES AND STEGANOGRAPHY

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

作者： Balado, Felix Haughton, David Univ Coll Dublin Sch Comp Sci & Informat Dublin Ireland

ISBN: (纸本)9781479903566

We show that Slepian's Variant I permutation codes implement first-order perfect steganography (i.e., histogram-preserving steganography). We give theoretical expressions for the embedding distortion, embedding rate and embedding efficiency of permutation codes in steganography, which demonstrate that these codes conform to prior analyses of the properties of capacity-achieving perfect stegosystems with a passive warden. We also propose a modification of adaptive arithmetic coding that near optimally implements permutation coding with a low complexity, confirming all our theoretical predictions. Finally we discuss how to control the embedding distortion. Permutation coding turns out to be akin to Sallee's model-based steganography, and to supersede both this method and LSB matching.

关键词： Permutation coding histogram preservation arithmetic coding model-based steganography LSB matching

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Hardware Modelling of JPEG2000 MQ-Encoder

Hardware Modelling of JPEG2000 MQ-Encoder

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4th International Conference on Intelligent and Advanced Systems (ICIAS) and A Conference of World Engineering, Science and Technology Congress (ESTCON)

作者： El-Sharkasy, Wael M. Ragab, Mohamed E. Univ Alexandria Fac Engn Dept Elect Engn Alexandria Egypt E JUST Sch Elect Dept Comp & Commun Alexandria Egypt

ISBN: (纸本)9781457719677

Image compression is one of the most important topics in the field of digital image processing. JPEG2000 is considered as a new image compression standard that offers the requirements needed nowadays. Efficient hardware implementation of this complex standard is a considerable challenge in order to embed the compression engine inside the imaging devices. MQ encoder is one of the main and important modules in the JPEG2000 encoder. This paper proposes a hardware model written in VHDL for this MQ encoder. The design fully achieves all the required performance, identified in the JPEG2000 standard with reasonable hardware specifications and its results are compared with other similar designs.

关键词： JPEG2000 MQ Encoder arithmetic coding Hardware VHDL FPGA Matlab

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A Kind of Digital Signature System Based on Linear Computing

A Kind of Digital Signature System Based on Linear Computing

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2nd International Conference on Network Computing and Information Security (NCIS 2012)

作者： Li, Hai-ming Shanghai Univ Elect Power Sch Comp & Informat Engn Shanghai 201300 Peoples R China

ISBN: (纸本)9783642352102

In this paper, a kind of digital signature system is proposed. This method is based on the difficulty on getting the solutions of indefinite equations with integer coefficients in mathematical programming. It is a hard NP problem in computing. The signature system has random property like DSS so as to avoid forgery signature. Because only arithmetic plus and multiple operations are used, it is easy for hardware integration. This signature system can very suitably be used for digital signal processor development in DSP.

关键词： Digital signature arithmetic coding Secret keying problem

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Combining Forward Compression with PPM

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SN Computer Science 2022年第3期3卷 239页

作者： Avrunin, Rachel Mustakis Klein, Shmuel T. Shapira, Dana Department of Computer Science Ariel University Ramat HaGolan St. 65 Ariel 40700 Israel Department of Computer Science Bar Ilan University Ramat-Gan 52900 Israel

A new Forward Looking variant of dynamic Huffman or arithmetic encoding has been recently proposed, that provably always performs better than the corresponding general static encoding schemes, as far as the net compressed file, without the necessary header, is concerned. The current paper suggests to integrate the Forward Looking paradigm with the well-known adaptive PPM—Prediction by Partial Matching algorithm. This combination, that attempts to predict the following character based on the context that has already occurred in past, but uses its knowledge of the exact frequencies in the future, is empirically shown to enhance the prediction capability, and therefore to improve the compression efficiency. © 2022, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.

关键词： arithmetic coding Lossless compression PPM

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Cloud-based Distributed Nth Order Binary Encoding redefines the limit of lossless compression 3

Cloud-based Distributed Nth Order Binary Encoding redefines ...

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3rd IEEE International Conference on Smart Cloud (SmartCloud)

作者： Rawal, Bharat S. Penn State Univ Main Dept Informat Sci & Technol Abington PA 19001 USA

ISBN: (纸本)9781538680001

Everyday incredible amount of data is produced and stored around the globe;it keeps growing. With technological advances, companies can manage and store the massive amount of data in-house or in the cloud. To avoid the storage bottleneck, they use various compression techniques. The compression ratio of modern compression technique is approaching a mathematical limit. We propose a novel lossless compression algorithm, which will redefine the new mathematical limit of lossless compression ratio. It can be used on top of existing data compression techniques to optimize the compression ratio. In this paper, we introduce a distributed Nth order binary encoding (DNOBE) method, which harnesses the smart cloud technology for encoding and data compression. This work is an improvement over Nth order binary encoding (NOBE) algorithm. DNOBE works in three stages, in the first stage it uses the hybrid method consists of probabilistic and deterministic approach for a sender side. Moreover, in the second stage on the server side (the high-performance server cluster in the cloud), it converts the given problem into a deterministic problem. In the final stage, the receiver decodes the compressed data.

关键词： Encoding Huffman coding arithmetic coding parallel computing and Distributed computing

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Modified CCSDS Image Data Compression 2

Modified CCSDS Image Data Compression

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2nd International Conference on Devices, Circuits and Systems (ICDCS)

作者： Prem, Jinitha Mathew, Dominic Rajagiri Sch Engn & Technol Dept AEI Ernakulam India

ISBN: (纸本)9781479913565

Consultative Committee for Space Data Systems (CCSDS) data compression consists of a two dimensional discrete wavelet transform of the image, followed by bit-plane coding of the transformed data. The algorithm can provide both lossless and lossy compression, and allows a user to directly control the compressed data volume or the fidelity with which the wavelet-transformed data can be reconstructed. The proposed algorithm yields better rate-distortion performance and has applications for near-earth and deep-space missions when compared to the standard recommendation. In the proposed method the Rice codes used in the CCSDS standard is replaced by subexponential coding which improves the rate-distortion performance and is robust against noise and outliers.

关键词： component CCSDS Rice coding Bit plane encoding Subexponential coding arithmetic coding

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