DocumentCode :
2099872
Title :
Color image compression by moment-preserving and block truncation coding techniques
Author :
Yang, Chen-Kuei ; Lin, Ja-Chen ; Tsai, Wen-Hsiang
Author_Institution :
Dept. of Comput. & Inf. Sci., Nat. Chiao Tung Univ., Hsinchu, Taiwan
Volume :
3
fYear :
1994
fDate :
13-16 Nov 1994
Firstpage :
972
Abstract :
A new color image compression technique based on moment-preserving and block truncation coding (BTC) is proposed. An input image is divided into non-overlapping blocks. And each block is coded by two representative colors, or equivalently, by two sets of tristimulus values (R1, G1, B1) and (R2, G2, B2). To compute the two representative colors of each block, some color moments of the block are preserved, and the two sets of desired tristimulus values are computed accordingly using analytic formulas. The compression ratio is 6 when the block size is 4×4. Furthermore, a simple method is applied to quantize the bit map into 64 predefined bit maps and requantize each color component from 8 bits into 4 bits. An average compression ratio of 14.00 can be achieved
Keywords :
data compression; image coding; image colour analysis; quantisation (signal); analytic formulas; average compression ratio; bit map quantisation; block truncation coding; color component; color image compression; color moments; image coding; input image; moment-preserving techniques; non-overlapping blocks; representative colors; tristimulus values; Compression algorithms; Councils; Covariance matrix; Differential equations; Educational institutions; Image coding; Image color analysis; Information management; Information science; Pixel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
Conference_Location :
Austin, TX
Print_ISBN :
0-8186-6952-7
Type :
conf
DOI :
10.1109/ICIP.1994.413700
Filename :
413700
Link To Document :
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