Innovative Decomposition for Progressive Image
Transmission

ASIAIR > Asia University Journals > Asian Journal of Health and Information Sciences > v.1 n.2 > Item 310904400/2042

Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/2042

Title:	Innovative Decomposition for Progressive Image Transmission
Authors:	TIMOTHY K. SHIH;RONG-CHI CHANG
Contributors:	Department of Computer Science and Information Engineering, Tamkang University
Keywords:	progressive image transmission;bit plane method;pixel interpolation;image coding;network applications
Date:	2006-07
Issue Date:	2009-10-13 06:57:16 (UTC+0)
Publisher:	Asia University
Abstract:	Progressive image transmission (PIT) transmits the most significant portion of a picture, followed by its less important portions. The mechanism can be used in Web-based applications while users are browsing images. However, most PIT methods use the same pixel interpolation scheme for the entire picture, without considering the differences among image blocks. This paper analyzes the efficiency of pixel interpolation schemes and tests several decomposition mechanisms. The contribution results in an adaptive image transmission scheme, which takes the differences of picture portions into consideration. This study tested 1500 pictures in different categories and parameters. In consequence, the overall bit rates can be reduced significantly with good PSNR values and user satisfaction. The visual result is superior to progressive JPEG on both objective (quantitative) and subjective (human) measures. An error recovery procedure is also implemented in case that the transmitted pictures need to be fully recovered.
Relation:	Asian Journal of Health and Information Sciences 1(2):204-227
Appears in Collections:	[Asian Journal of Health and Information Sciences] v.1 n.2

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