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A scheme of parallel arithmetic coding

2011 IEEE International Symposium of Circuits and Systems (ISCAS), 2011
This paper presents a parallel arithmetic coding scheme in which supports a large degree of parallelism with a marginal cost in terms of the coding efficiency. The parallelism is brought by coding the bits using multiple arithmetic coders. We identify two types of losses in coding efficiency by breaking the dependency among the data: the loss by ...
Wei Xiao   +3 more
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On the Security of the Secure Arithmetic Code

IEEE Transactions on Information Forensics and Security, 2009
In 2007, Kim et al. proposed a secure compression code called the secure arithmetic code (SAC). The code was claimed to be secure against chosen plaintext attacks. However, we find that the SAC is not as secure as the authors have claimed. In this paper, we show the code is prone to two attacks.
Hung-Min Sun   +2 more
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A Fast Implementation of Arithmetic Coding

2010 12th International Asia-Pacific Web Conference, 2010
This paper advances a new lossless data compression method utilizing reversible data hiding to reduce compression times significantly and achieve good compression rates. The core idea of the new approach is to transform a longer binary sequence into a shorter n-ary sequence, transform the n-ary sequence into two binary subsequences, and apply a ...
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Optimization of Arithmetic Coding for JPEG2000

IEEE Transactions on Circuits and Systems for Video Technology, 2010
Embedded block coding with optimized truncation (EBCOT) employed in the JPEG2000 standard accounts for the majority of the processing time, because the EBCOT is full of bit operations that cannot be implemented efficiently in software. The block coder consists of a bit-plane coder (BPC) followed by a binary arithmetic coder (BAC), where the most up-to ...
Minsoo Rhu, In-Cheol Park
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Cryptanalysis of secure arithmetic coding

2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 2008
This work investigates the security issues of the recently proposed secure arithmetic coding (AC), which is an encryption scheme incorporating the interval splitting AC with a series of symbol and codeword permutations. We propose a chosen-ciphertext attack which is capable of recovering the key vectors for codeword permutations with complexity O(N ...
Jiantao Zhou 0001   +3 more
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Arithmetic coding for data compression

Communications of the ACM, 1987
The state of the art in data compression is arithmetic coding, not the better-known Huffman method. Arithmetic coding gives greater compression, is faster for adaptive models, and clearly separates the model from the channel encoding.
Ian H. Witten   +2 more
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Coupled distributed arithmetic coding

2011 18th IEEE International Conference on Image Processing, 2011
In this paper, we propose a novel scheme of coupled distributed arithmetic coding to overcome the de-synchronization problem caused by causal decoding in existing distributed arithmetic coding system. Simulation results show that decoding performance is significantly improved and longer sequences outperform shorter sequences using this approach.
Xi Chen, David S. Taubman
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A fast renormalisation for arithmetic coding

Proceedings DCC '98 Data Compression Conference (Cat. No.98TB100225), 2002
Summary form only given. All integer based arithmetic coding consists of two steps: proportional range restriction and range expansion (renormalisation). Here a method is presented that significantly reduces the complexity of renormalisation, allowing a speedup of arithmetic coding by a factor of up to 2.
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A note on perfect arithmetic codes

IEEE Trans. Inf. Theory, 2020
Summary: Recently \textit{S. Ernvall} [ibid. IT-28, 665-667 (1982; Zbl 0485.94020)] has characterized all the moduli m for which the arithmetic distance induces a metric of \(Z_ m\). This gives us several new classes of moduli for which it is natural to study the properties of arithmetic codes.
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Secure Multipliers Resilient to Strong Fault-Injection Attacks Using Multilinear Arithmetic Codes

IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2012
Zhen Wang, M. Karpovsky, A. Joshi
semanticscholar   +1 more source

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