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
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