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Content Provider | IET Digital Library |
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Author | Wei, Shih Tse Kuo, Pin Chen Liu, Bin Da Yang, Jar Ferr |
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. |
Starting Page | 191 |
Ending Page | 198 |
Page Count | 8 |
ISSN | 17519659 |
Volume Number | 8 |
e-ISSN | 17519667 |
Issue Number | Issue 4, Apr (2014) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-ipr/8/4 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2012.0519 |
Journal | IET Image Processing |
Publisher Date | 2013-11-26 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | Adaptive Codes Compact Truncation Context-based Adaptive Variable Length Coding Coder Data Compaction Data Compression Efficient Lossless Coding Algorithm Efficient Residual Coding Algorithm H.264-AVC Lossless Coding System Hadamard Transform Hadamard Transforms Image And Video Coding Integral Transforms Redundancy Reduction Variable Length Code Video Coding Video Signal Processing |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software |
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