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  4. Improved Efficiency on Adaptive Arithmetic Coding for Data Compression Using Range-Adjusting Scheme, Increasingly Adjusting Step, and Mutual-Learning Scheme
 
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Improved Efficiency on Adaptive Arithmetic Coding for Data Compression Using Range-Adjusting Scheme, Increasingly Adjusting Step, and Mutual-Learning Scheme

Journal
IEEE Transactions on Circuits and Systems for Video Technology
Journal Volume
28
Journal Issue
12
Pages
3412-3423
Date Issued
2018
Author(s)
JIAN-JIUN DING  
I-HSIANG WANG  
DOI
10.1109/TCSVT.2017.2749449
URI
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029181714&doi=10.1109%2fTCSVT.2017.2749449&partnerID=40&md5=e5bba2307ce9c9f26f6d3640c5bb498b
Abstract
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. © 1991-2012 IEEE.
Subjects
adaptive arithmetic coding; context-based adaptive arithmetic coding; Data compression; entropy coding; lossless image compression by edge-directed prediction
Other Subjects
Codes (symbols); Data compression; Digital arithmetic; Efficiency; Entropy; Image coding; Probability distributions; Adaptation models; Adaptive arithmetic coding; Edge-directed; Entropy coding; Transform coding; Image compression
Type
journal article

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