A block-based still image coder for parallel computing

Yu Lin Wang, Chia Te Liao, Alvin W.Y. Su

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

Abstract

The coding efficiency of a still image coder is dominated by the complexity of the encoding algorithm. For the past decade, it was seen that the encoding quality was gradually limited. Hence, the issue of coding speed becomes popular in recent researches. This paper proposes a block-based image coder which is applicable for parallel computing. The proposed coder improves the coding quality of combined significant map coding (CSMC), and shortens the encoding time dramatically. From the simulation results, the proposed method has comparable coding quality against the most well-known coders. The coding quality is not affected by the number of participants, so it is also suitable to be applied in cloud computing. Besides, the proposed block-based image coder preserves the property of high scalability and availability. We conclude that our proposed coder enabled by parallel computing has a great advantage of fitting with the increasing complexity of computation.

Original languageEnglish
Title of host publicationProc. of the 11th IEEE Int. Conference on Trust, Security and Privacy in Computing and Communications, TrustCom-2012 - 11th IEEE Int. Conference on Ubiquitous Computing and Communications, IUCC-2012
Pages1461-1468
Number of pages8
DOIs
Publication statusPublished - 2012 Nov 5
Event11th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom-2012 - Liverpool, United Kingdom
Duration: 2012 Jun 252012 Jun 27

Publication series

NameProc. of the 11th IEEE Int. Conference on Trust, Security and Privacy in Computing and Communications, TrustCom-2012 - 11th IEEE Int. Conference on Ubiquitous Computing and Communications, IUCC-2012

Other

Other11th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom-2012
CountryUnited Kingdom
CityLiverpool
Period12-06-2512-06-27

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All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications

Cite this

Wang, Y. L., Liao, C. T., & Su, A. W. Y. (2012). A block-based still image coder for parallel computing. In Proc. of the 11th IEEE Int. Conference on Trust, Security and Privacy in Computing and Communications, TrustCom-2012 - 11th IEEE Int. Conference on Ubiquitous Computing and Communications, IUCC-2012 (pp. 1461-1468). [6296154] (Proc. of the 11th IEEE Int. Conference on Trust, Security and Privacy in Computing and Communications, TrustCom-2012 - 11th IEEE Int. Conference on Ubiquitous Computing and Communications, IUCC-2012). https://doi.org/10.1109/TrustCom.2012.17