BTC image coding with visual patterns

Author

Chan, Tak Po ; Zeng, Bing ; Liou, Ming L.

Author_Institution

Dept. of Electr. & Electron. Eng., Hong Kong Univ., Hong Kong

fYear

1994

fDate

5-8 Dec 1994

Firstpage

646

Lastpage

651

Abstract

This paper presents a block truncation coding (BTC) scheme for image compression that employs visual patterns designed independently of the image to be coded. In this method, image blocks are first classified into three classes: uniform, gentle edge, and sharp edge, according to their variations. Design focus is on edge blocks, where two sets of patterns, namely, visual patterns and visual row patterns are used. Different quantization is performed on the mean values of each block according to its block type. Experimental results show that the proposed BTC scheme can achieve PSNR about 30 dB at bit rate 0.46~0.53 bpp (for the image Lenna of size 512×512)

Keywords

block codes; data compression; image classification; image coding; quantisation (signal); 262144 pixel; 512 pixel; BTC image coding; PSNR; bit rate; block truncation coding; edge blocks; gentle edge; image blocks; image classification; image compression; quantization; sharp edge; visual patterns; visual row patterns; Bit rate; Design engineering; Humans; Image coding; PSNR; Partitioning algorithms; Quantization;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1994. APCCAS '94., 1994 IEEE Asia-Pacific Conference on

Conference_Location

Taipei

Print_ISBN

0-7803-2440-4

Type

conf

DOI

10.1109/APCCAS.1994.514628

Filename

514628