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

fYear

2009

fDate

6-8 Nov. 2009

Firstpage

779

Lastpage

782

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICNIDC.2009.5360921

Filename

5360921