Hybrid block truncation coding for color image compression

In this paper, a hybrid block truncation coding (HBTC) is presented for color image compression. In the HBTC algorithm to improve the compression ratio of the basic BTC, only luminance bit-map is employed to represent the edge information of the coding block. Moreover, an efficient previous proposed...

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Bibliographic Details
Published in2009 IEEE International Conference on Network Infrastructure and Digital Content pp. 779 - 782
Main Authors Jun Wang, Yeun-Cheul Jeung, Jong-Wha Chong
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2009
Subjects
adaptive quantization coding
Bit rate
block truncation coding
Color
color image compression
Computational complexity
Delay
Image coding
Image quality
Pixel
PSNR
Pulse modulation
Quantization
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Summary:In this paper, a hybrid block truncation coding (HBTC) is presented for color image compression. In the HBTC algorithm to improve the compression ratio of the basic BTC, only luminance bit-map is employed to represent the edge information of the coding block. Moreover, an efficient previous proposed algorithm, adaptive quantization coding (AQC), is used to compress the two representative levels further. Simulation results show that the proposed HBTC performs as well as the BTC in terms of subject visual quality, and significantly improves the compression ratio of BTC from 2.88:1 to 6.00:1 with the limited performance losing about 0.66 dB in PSNR.
ISBN:1424448980
9781424448982
ISSN:2374-0272
DOI:10.1109/ICNIDC.2009.5360921