Title :
Hybrid block truncation coding for color image compression
Author :
Wang, Jun ; Jeung, Yeun Cheul ; Chong, Jong Wha
Author_Institution :
Dept. of Electron. & Comput. Eng., Hanyang Univ., Seoul, South Korea
Abstract :
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.
Keywords :
edge detection; image coding; image colour analysis; adaptive quantization coding; color image compression; edge information; hybrid block truncation coding; luminance bit-map; subject visual quality; Bit rate; Color; Computational complexity; Delay; Image coding; Image quality; PSNR; Pixel; Pulse modulation; Quantization; adaptive quantization coding; block truncation coding; color image compression;
Conference_Titel :
Network Infrastructure and Digital Content, 2009. IC-NIDC 2009. IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-4898-2
Electronic_ISBN :
978-1-4244-4900-6
DOI :
10.1109/ICNIDC.2009.5360921
