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Context-based adaptive arithmetic coding in time and frequency domain for the lossless compression of audio coding parameters at variable rate

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EURASIP JOURNAL ON AUDIO SPEECH AND MUSIC PROCESSING 2013年第1期2013卷 1-13页

作者： Wang, Jing Ji, Xuan Zhao, Shenghui Xie, Xiang Kuang, Jingming Beijing Inst Technol RICT Sch Informat & Elect Engn Beijing 100081 Peoples R China

This paper presents a novel lossless compression technique of the context-based adaptive arithmetic coding which can be used to further compress the quantized parameters in audio codec. The key feature of the new technique is the combination of the context model in time domain and frequency domain which is called time-frequency context model. It is used for the lossless compression of audio coding parameters such as the quantized modified discrete cosine transform (MDCT) coefficients and the frequency band gains in ITU-T G.719 audio codec. With the proposed adaptive arithmetic coding, a high degree of adaptation and redundancy reduction can be achieved. In addition, an efficient variable rate algorithm is employed, which is designed based on both the baseline entropy coding method of G.719 and the proposed adaptive arithmetic coding technique. Experiments show that the proposed technique is of higher efficiency compared with the conventional Huffman coding and the common adaptive arithmetic coding when used in the lossless compression of audio coding parameters. For a set of audio samples used in the G.719 application, the proposed technique achieves an average bit rate saving of 7.2% at low bit rate coding mode while producing audio quality equal to that of the original G.719.

关键词： adaptive arithmetic coding Time-frequency context Lossless compression Variable rate MDCT

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High-capacity reversible data hiding in encrypted images based on adaptive arithmetic coding and static Huffman coding

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CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS 2023年第6期26卷 3627-3645页

作者： Liu, Mengqi Wang, Kunshu Gao, Tiegang Nankai Univ Coll Software Tianjin Peoples R China

Recently, with the rapid development of cloud storage, secure cloud computing and privacy protection have attracted widespread attention. Reversible data hiding in encrypted images (RDHEI) plays an important role in it and has been paid more and more attention. In this paper, an improved RHDEI is proposed. By combining adaptive arithmetic coding and static Huffman coding, the image bit-plane is effectively compressed and a lot of space is made for data embedding. The security of image and embedded data is guaranteed by XOR-encryption and scrambling encryption. The data extractor can embed and extract data without decrypting the carrier image to protect the privacy of the image owner. Experimental results show that the scheme can achieve an average embedding capacity (EC) of up to 3bpp while ensuring lossless recovery of carrier images and correct extraction of embedded data. Compared with state-of-the-art RDHEI methods, our scheme achieves higher EC and better security.

关键词： Reversible data hiding adaptive arithmetic coding Static Huffman coding Bit-plane compression Image encryption

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Improved Efficiency on adaptive arithmetic coding for Data Compression Using Range-Adjusting Scheme, Increasingly Adjusting Step, and Mutual-Learning Scheme

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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 2018年第12期28卷 3412-3423页

作者： Ding, Jian-Jiun Wang, I-Hsiang Chen, Hung-Yi Natl Taiwan Univ Grad Inst Commun Engn Taipei 10617 Taiwan

Context-based adaptive arithmetic coding (CAAC) has high coding efficiency and is adopted by the majority of advanced compression algorithms. In this paper, five new techniques are proposed to further improve the performance of CAAC. They make the frequency table (the table used to estimate the probability distribution of data according to the past input) of CAAC converge to the true probability distribution rapidly and hence improve the coding efficiency. Instead of varying only one entry of the frequency table, the proposed range-adjusting scheme adjusts the entries near to the current input value together. With the proposed mutual-learning scheme, the frequency tables of the contexts highly correlated to the current context are also adjusted. The proposed increasingly adjusting step scheme applies a greater adjusting step for recent data. The proposed adaptive initialization scheme uses a proper model to initialize the frequency table. Moreover, a local frequency table is generated according to local information. We perform several simulations on edge-directed prediction-based lossless image compression, coefficient encoding in JPEG, bit plane coding in JPEG 2000, and motion vector residue coding in video compression. All simulations confirm that the proposed techniques can reduce the bit rate and are beneficial for data compression.

关键词： Data compression adaptive arithmetic coding context-based adaptive arithmetic coding entropy coding lossless image compression by edge-directed prediction

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Improvement of H.263 encoding by adaptive arithmetic coding

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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 2000年第5期10卷 797-800页

作者： Baum, E Harr, V Speidel, J Univ Stuttgart Inst Telecommun D-70569 Stuttgart Germany

arithmetic coding in H.263 is based on models that assign a fixed probability to each possible value of some syntax element. In this paper, the effect of adapting the models according to the dynamically changing stati... 详细信息

关键词： adaptive arithmetic coding entropy coding H.263 symbol frequencies video coding

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Improved adaptive arithmetic coding for HEVC Video Compression Technology

Improved Adaptive Arithmetic Coding for HEVC Video Compressi...

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International Conference on Computer Vision and Graphics (ICCVG)

作者： Karwowski, Damian Poznan Univ Tech Chair Multimedia Telecommun & Microelect PL-60965 Poznan Poland

ISBN: (纸本)9783642335648;9783642335631

The paper presents Improved adaptive arithmetic coding algorithm for application in forthcoming HEVC video compression technology. The proposed solution is based on standard CABAC algorithm and uses author's new mechanism of data statistics modeling that is based on CTW technique. The improved CABAC algorithm is characterized with better compression performance relative to standard CABAC. In the framework of HEVC encoder 1.6% - 4.5% bitrate reduction was obtained when using improved CABAC instead of the original algorithm.

关键词： adaptive arithmetic coding improved CABAC HEVC

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THE LOSSLESS adaptive arithmetic coding BASED ON CONTEXT FOR ITU-T G.719 AT VARIABLE RATE

THE LOSSLESS ADAPTIVE ARITHMETIC CODING BASED ON CONTEXT FOR...

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8th International Symposium on Chinese Spoken Language Processing (ISCSLP)

作者： Ji, Xuan Wang, Jing He, Hailong Kuang, Jingming Beijing Inst Technol Sch Informat & Elect Beijing 100081 Peoples R China

ISBN: (纸本)9781467325073

This paper presents a novel technique of context-based adaptive arithmetic coding of the quantized MDCT coefficients and frequency band gains in audio compression. A key feature of the new technique is combining the context model in time domain and frequency domain, which used for the quantized norms' and MDCT coefficients' probability. With this new technique, we achieve a high degree of adaptation and redundancy reduction in the adaptive arithmetic coding. In addition, we employ an efficient variable rate algorithm for G.719. The variable rate algorithm is designed based on the baseline entropy coding method of G.719 and the proposed adaptive arithmetic coding technique respectively. For a set of audio samples used in the application, we achieve an average bit-rate saving of 7.2% while producing audio quality equal to that of the original G.719.

关键词： adaptive arithmetic coding context variable rate the quantized MDCT coefficients

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Improved Angle Freeman Chain Code Using Improved adaptive arithmetic coding 16

Improved Angle Freeman Chain Code Using Improved Adaptive Ar...

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16th IEEE Asia Pacific Conference on Circuits and Systems (IEEE APCCAS) / IEEE Asia Pacific Conference on Postgraduate Research in Microelectronics and Electronics (PrimeAsia)

作者： Wu, Ji-Ting Ding, Jian-Jiun Natl Taiwan Univ Grad Inst Commun Engn Taipei Taiwan

ISBN: (纸本)9781728193960

Binary image is useful in our life. For instance, text, line art, halftone image, tax etc. could use this method, so lossless binary image compression is useful for improve this domain. We found that angle freeman chain code for eight connectivity (AF8) is effective in lossless binary image compression. Therefore, we use improved-adaptive-arithmetic-coding to encode character of AF8, and we also decrease character with global and local frequency table thanks to some characteristics of AF8 we found. Then, in experimental result, we show our proposed method is better than AF8 with static arithmetic coding (SAC), and we also show that the context modeling method we choose is better than the compression coding without context modeling. Furthermore, our method is also better than other method like the ZD code and the AAF8 code.

关键词： image compression adaptive arithmetic coding entropy coding

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DECODER-DRIVEN adaptive DISTRIBUTED arithmetic coding

DECODER-DRIVEN ADAPTIVE DISTRIBUTED ARITHMETIC CODING

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

作者： Grangetto, Marco Magli, Enrico Mo, Gabriella Univ Turin Dipartimento Informat I-10124 Turin Italy Politecn Torino Dipartimento Elettr Turin Italy

ISBN: (纸本)9781424417650

We propose a distributed source coding system for data collected by sensor networks. It uses a feedback channel between the sensors and the gateway node (i.e., the joint decoder) but, unlike previous systems, the encoding process is driven by the decoder. Compression is performed using distributed arithmetic coding, which is extended to adaptively estimate the source probabilities. Specifically, the decoder estimates marginal and conditional probabilities, and sends them back to the sensors to drive the distributed arithmetic coding process. This reduces the decoding delay, and potentially eliminates the need of rate-compatible Slepian-Wolf codes.

关键词： Distributed source coding arithmetic coding sensor networks adaptive arithmetic coding

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adaptive Context Modeling for arithmetic coding Using Perceptrons

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IEEE SIGNAL PROCESSING LETTERS 2022年 29卷 2382-2386页

作者： Lopes, Lucas S. Chou, Philip A. de Queiroz, Ricardo L. Univ Brasilia Dept Comp Sci BR-70910900 Brasilia Brazil Google Seattle WA 98103 USA

arithmetic coding is used in most media compression methods. Context modeling is usually done through frequency counting and look-up tables (LUTs). For long-memory signals, probability modeling with large context sizes is often infeasible. Recently, neural networks have been used to model probabilities of large contexts in order to drive arithmetic coders. These neural networks have been trained offline. We introduce an online method for training a perceptron-based context-adaptive arithmetic coder on-the-fly, called adaptive perceptron coding, which continuously learns the context probabilities and quickly converges to the signal statistics. We test adaptive perceptron coding over a binary image database, with results always exceeding the performance of LUT-based methods for large context sizes and of recurrent neural networks. We also compare the method to a version requiring offline training, which leads to equally satisfactory results.

关键词： Context modeling Training Adaptation models Table lookup Symbols Encoding Codes adaptive arithmetic coding neural context modeling

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Context- and HVS-based multiwavelet image coding using SPIHT framework

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CIRCUITS SYSTEMS AND SIGNAL PROCESSING 2005年第2期24卷 117-134页

作者： He, XC Yu, SS Zhou, JL Huazhong Univ Sci & Technol Comp Sch Wuhan 430074 Hubei Peoples R China

In this paper, multiwavelets are considered in the context of image compression based on the human vision system (HVS). First, selecting the BSA (4/4)* filters, a two-dimensional image is transformed with our proposed algorithm 1. Second, we apply HVS coefficients into the subbands of the transformed image. Third, we split the coefficients into two parts: the significance map and residue map. Then a new modified set partitioning in hierarchical trees (SPIHT) algorithm is proposed to encode the significance map. Fourth, algorithm III is presented for coding the residue map. Finally, we adopt context-based adaptive arithmetic coding to encode the bit stream. We also provide some experimental results proving that multiwavelets are worth studying and compare them with those of other multiwavelet and JPEG2000 algorithms.

关键词： multiwavelet image compression HVS SPIHT adaptive arithmetic coding context

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