Abstract | ||
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After the development of the next generation video coding standard, referred to as high efficiency video coding (HEVC), the joint collaborative team of the ITU-T video coding experts group and the ISO/IEC moving picture experts group has now also standardized a lossless extension of such a standard. HEVC was originally designed for lossy video compression, thus, not ideal for lossless video compression. In this paper, we propose an efficient residual data coding method for HEVC lossless video compression. Based on the fact that there are statistical differences of residual data between lossy and lossless coding, we improved the HEVC lossless coding using sample-based angular prediction (SAP), modified level binarization, and binarization table selection with the weighted sum of previously encoded level values. Experimental results show that the proposed method provides high compression ratio up to 11.32 and reduces decoding complexity. |
Year | DOI | Venue |
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2015 | 10.1007/s11760-013-0545-z | Signal, Image and Video Processing |
Keywords | Field | DocType |
High efficiency video coding (HEVC), Binarization, Binarization table selection, Level coding, Lossless coding | Lossless JPEG,Computer vision,Lossy compression,Coding tree unit,Computer science,Context-adaptive variable-length coding,Multiview Video Coding,Artificial intelligence,Data compression,Context-adaptive binary arithmetic coding,Lossless compression | Journal |
Volume | Issue | ISSN |
9 | 5 | 1863-1711 |
Citations | PageRank | References |
9 | 0.53 | 4 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jung-Ah Choi | 1 | 18 | 3.88 |
Yo-Sung Ho | 2 | 1288 | 146.57 |