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A Still Image Compression System with a High Quality Text Compression Capability  

Lee, Je-Myung (CISTECH)
Lee, Ho-Suk (호서대학교 컴퓨터공학부)
Publication Information
Journal of KIISE:Software and Applications / v.34, no.3, 2007 , pp. 275-302 More about this Journal
Abstract
We propose a novel still image compression system which supports a high quality text compression function. The system segments the text from the image and compresses the text with a high quality. The system shows 48:1 high compression ratio using context-based adaptive binary arithmetic coding. The arithmetic coding performs the high compression by the codeblocks in the bitplane. The input of the system consists of a segmentation mode and a ROI(Region Of Interest) mode. In segmentation mode, the input image is segmented into a foreground consisting of text and a background consisting of the remaining region. In ROI mode, the input image is represented by the region of interest window. The high quality text compression function with a high compression ratio shows that the proposed system can be comparable with the JPEG2000 products. This system also uses gray coding to improve the compression ratio.
Keywords
High quality text compression; High compression; Context-based adaptive binary arithmetic coding; Segmentation mode input;
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