Improved BTC Using Luminance Bitmap for Color Image Compression

Block truncation coding (BTC) is an efficient technology for color image compression. An improved BTC algorithm, luminance bit-map based BTC (LBBBTC), is presented in this paper. The LBB-BTC employs luminance bit-map to represent the three R, G and B bit-maps more exactly. Moreover, by adding 3 bits...

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Bibliographic Details
Published in2009 2nd International Congress on Image and Signal Processing pp. 1 - 5
Main Authors Jun Wang, Kyeong-yuk Min, Yeun-Cheul Jeung, Jong-Wha Chong
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2009
Subjects
Bit rate
Color
Computational complexity
Image coding
Image quality
Liquid crystal displays
Pixel
PSNR
Pulse modulation
Vector quantization
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Summary:Block truncation coding (BTC) is an efficient technology for color image compression. An improved BTC algorithm, luminance bit-map based BTC (LBBBTC), is presented in this paper. The LBB-BTC employs luminance bit-map to represent the three R, G and B bit-maps more exactly. Moreover, by adding 3 bits to indicate the entirely differences between Y and R, G or B bit-maps, respectively, the coding performance is improved obviously. Simulation results show that the proposed LBB-BTC performs as well as the BTC in terms of subject visual quality and PSNR, and significantly improve the compression ratio of BTC.
ISBN:1424441293
9781424441297
DOI:10.1109/CISP.2009.5304208