Adaptive entropy coding with (5, 3) DWT for H.264 lossless image coding

Jun Ren Ding, Jar-Ferr Yang

研究成果: Conference contribution

4 引文 斯高帕斯(Scopus)


Lossless image coding is a important research field for multimedia store and digital library. H.264 provides a better compression rate than the JPEG-LS based on intra prediction and entropy coding (CABAC and CAVLC). In this paper, we suggest that entropy coding should be adaptively adopted for various image content variations (ICV) to increase H.264-LS compression rate. The ICV is obtained by existing intra prediction residue values in our proposed method. In the meantime, we add the (5, 3) discrete wavelet transform (DWT) for higher ICV images after executing 4x4 intra prediction to increase H.264-LS compression rate again. Simulation results show that using the adaptive entropy coding has 97% correct rate and 8.7% compression rate improvement than used single entropy coding. If add the (5, 3) DWT filtering again, we can at least obtain 2.3% compression rate than the adaptive entropy coding.

主出版物標題TENCON 2007 - 2007 IEEE Region 10 Conference
出版狀態Published - 2007 十二月 1
事件IEEE Region 10 Conference, TENCON 2007 - Taipei, Taiwan
持續時間: 2007 十月 302007 十一月 2


名字IEEE Region 10 Annual International Conference, Proceedings/TENCON


OtherIEEE Region 10 Conference, TENCON 2007

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering

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