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

Jun Ren Ding, Jar-Ferr Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationTENCON 2007 - 2007 IEEE Region 10 Conference
DOIs
Publication statusPublished - 2007 Dec 1
EventIEEE Region 10 Conference, TENCON 2007 - Taipei, Taiwan
Duration: 2007 Oct 302007 Nov 2

Publication series

NameIEEE Region 10 Annual International Conference, Proceedings/TENCON

Other

OtherIEEE Region 10 Conference, TENCON 2007
CountryTaiwan
CityTaipei
Period07-10-3007-11-02

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering

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    Ding, J. R., & Yang, J-F. (2007). Adaptive entropy coding with (5, 3) DWT for H.264 lossless image coding. In TENCON 2007 - 2007 IEEE Region 10 Conference [4429056] (IEEE Region 10 Annual International Conference, Proceedings/TENCON). https://doi.org/10.1109/TENCON.2007.4429056