Improved BTC Using Luminance Bitmap for Color Image Compression

Author

Wang, Jun ; Min, Kyeong-Yuk ; Jeung, Yeun-Cheul ; Chong, Jong-Wha

Author_Institution

Dept. of Electron. & Comput. Eng., Hanyang Univ., Seoul, South Korea

fYear

2009

fDate

17-19 Oct. 2009

Firstpage

1

Lastpage

5

Abstract

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.

Keywords

block codes; data compression; image coding; image colour analysis; BTC; PSNR; RGB bit-map; block truncation coding; color image compression; luminance bitmap; visual quality; Bit rate; Color; Computational complexity; Image coding; Image quality; Liquid crystal displays; PSNR; Pixel; Pulse modulation; Vector quantization;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing, 2009. CISP '09. 2nd International Congress on

Conference_Location

Tianjin

Print_ISBN

978-1-4244-4129-7

Electronic_ISBN

978-1-4244-4131-0

Type

conf

DOI

10.1109/CISP.2009.5304208

Filename

5304208