Adaptive image transmission by strategic decomposition

Hui Huang Hsu, Timothy K. Shih, Louis H. Lin, Rong Chi Chang, Huei Fa Li

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Progressive image transmission (PIT) transmits the most significant portion of a picture, followed by less important parts. The mechanism can be used in web-based applications, while users are browsing images. Most PIT methods use the same pixel interpolation scheme for the entire picture, without considering the differences in different portions. We test several strategic decomposition mechanisms. Our contribution results in an adaptive image transmission mechanism, which takes the differences of pictures and picture portions into consideration. We tested 1500 pictures in different categories and parameters. The overall bit rates can be reduced significantly, with good PSNR values. An error recovery procedure is also implemented to guarantee the transmitted pictures that can be fully recovered. Interested readers can find the prototype tool and our evaluations at http://www.mine.tku.edu.tw/demos/ProgTransmission.

Original languageEnglish
Title of host publicationProceedings - 18th International Conference on Advanced Information Networking and Applications, AINA 2004 Volume 1 (Regional Papers)
EditorsL. Barolli
Pages525-530
Number of pages6
StatePublished - 2004
EventProceedings - 18th International Conference on Advanced Information Networking and Applications, AINA 2004 - Fukuoka, Japan
Duration: 29 Mar 200431 Mar 2004

Publication series

NameProceedings - International Conference on Advanced Information Networking and Application (AINA)
Volume1

Conference

ConferenceProceedings - 18th International Conference on Advanced Information Networking and Applications, AINA 2004
Country/TerritoryJapan
CityFukuoka
Period29/03/0431/03/04

Keywords

  • Bit Plane Method
  • Image Coding
  • Network Applications
  • Pixel Interpolation
  • Progressive Image Transmission

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