@inproceedings{cffa3d55ad03472ea2a764fe34d43288,
title = "GBN: An efficient progressive image transmission method based on guessing by neighbors",
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.",
keywords = "Bitmapped Graphics, Progressive Image Transmission, Web Applications",
author = "Chang, {Chin Chen} and Shih, {Timothy K.} and Lin, {Iuon Chang}",
note = "Publisher Copyright: {\textcopyright} 2019 SPIE.; 8th International Conference on Multimedia Modeling 2001, MMM 2001 ; Conference date: 05-11-2001 Through 07-11-2001",
year = "2001",
month = jan,
day = "1",
language = "???core.languages.en_GB???",
series = "Multimedia Modeling: Modeling Multimedia Information and Systems, MMM 2001",
publisher = "Centrum voor Wiskunde en Informatica (CWI)",
pages = "109--126",
editor = "Lloyd Rutledge and Bulterman, {Dick C.A.}",
booktitle = "Multimedia Modeling",
}