GBN: An efficient progressive image transmission method based on guessing by neighbors

Chin Chen Chang, Timothy K. Shih, Iuon Chang Lin

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

1 Scopus citations

Abstract

Progressive Image Transmission (PIT) technique is useful in Web applications. Especially when the network bandwidth is restricted, the user can roughly preview the image to decide if the entire detail of a picture needs to be transmitted. We propose a newly developed mechanism for PIT. According to the continuity of image pixels, we introduce a Guessing by Neighbors strategy. Only half of the original pixels are transmitted, with additional pixels for error recovery in unsuccessful guessing. Bandwidth can be save. The proposed algorithms can be used for both gray level as well as color pictures. The preliminary results show that, transmitted bit can be saved in the first few rounds. And the PSNR values in the first few rounds are much better than other PIT techniques.

Original languageEnglish
Title of host publicationMultimedia Modeling
Subtitle of host publicationModeling Multimedia Information and Systems, MMM 2001
EditorsLloyd Rutledge, Dick C.A. Bulterman
PublisherCentrum voor Wiskunde en Informatica (CWI)
Pages109-126
Number of pages18
ISBN (Electronic)9061965098, 9789061965091
StatePublished - 1 Jan 2001
Event8th International Conference on Multimedia Modeling 2001, MMM 2001 - Amsterdam, Netherlands
Duration: 5 Nov 20017 Nov 2001

Publication series

NameMultimedia Modeling: Modeling Multimedia Information and Systems, MMM 2001

Conference

Conference8th International Conference on Multimedia Modeling 2001, MMM 2001
Country/TerritoryNetherlands
CityAmsterdam
Period5/11/017/11/01

Keywords

  • Bitmapped Graphics
  • Progressive Image Transmission
  • Web Applications

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