Title :
Block truncation coding using edginess information
Author :
Beghdadi, A. ; Iordache, R.
Author_Institution :
Inst. Galilee, Univ. de Paris-Nord, Villetaneuse, France
Abstract :
An improvement of the well-known block truncation coding (BTC) method, introduced by Delp and Mitchell (1979), is proposed. The basic idea, derived from previous work of Beghdadi and Le Negrate (1989, 1991) on contrast enhancement and image filtering using a local contrast measure is to exploit edginess information in estimating both the quantization threshold and the reconstruction levels. The results obtained on actual images clearly show the efficiency of the method in preserving edge information compared to similar approaches.
Keywords :
data compression; filtering theory; image coding; image enhancement; image reconstruction; quantisation (signal); block truncation coding; contrast enhancement; edge information preservation; edginess information; image filtering; local contrast measure; method efficiency; quantization threshold; reconstruction levels; Bit rate; Distortion measurement; Image reconstruction; Information filtering; Information filters; Mean square error methods; PSNR; Pixel; Quantization; Visual perception;
Conference_Titel :
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location :
Vancouver, BC, Canada
Print_ISBN :
0-7803-6297-7
DOI :
10.1109/ICIP.2000.899256
