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Efficient residual coding algorithm based on Hadamard transform in lossless H.264/AVC
Author(s) -
Wei ShihTse,
Kuo PinChen,
Liu BinDa,
Yang JarFerr
Publication year - 2014
Publication title -
iet image processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.401
H-Index - 45
eISSN - 1751-9667
pISSN - 1751-9659
DOI - 10.1049/iet-ipr.2012.0519
Subject(s) - context adaptive variable length coding , algorithm , hadamard transform , lossless compression , context adaptive binary arithmetic coding , residual , computer science , coding (social sciences) , tunstall coding , data compression , mathematics , statistics , mathematical analysis
An efficient lossless coding algorithm for encoding residual data based on H.264/AVC that uses the Hadamard transform to take advantage of data compaction is proposed. To reduce redundancies, the transformed coefficients are compacted using a compact truncation. The compacted coefficients are then compressed by an improved context‐based adaptive variable length coding coder. Simulation results show that the proposed lossless residual coding algorithm reduces the bit rate by >7.5% compared with those obtained using existing H.264/AVC lossless coding systems.

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