Efficient residual coding algorithm based on hadamard transform in lossless H.264/AVC

Shih Tse Wei; Pin Chen Kuo; Bin Da Liu; Jar Ferr Yang

doi:10.1049/iet-ipr.2012.0519

Efficient residual coding algorithm based on hadamard transform in lossless H.264/AVC

Shih Tse Wei, Pin Chen Kuo, Bin Da Liu, Jar Ferr Yang

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	191-198
Number of pages	8
Journal	IET Image Processing
Volume	8
Issue number	4
DOIs	https://doi.org/10.1049/iet-ipr.2012.0519
Publication status	Published - 2014

All Science Journal Classification (ASJC) codes

Software
Signal Processing
Computer Vision and Pattern Recognition
Electrical and Electronic Engineering

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10.1049/iet-ipr.2012.0519

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abstract = "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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AB - 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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