Improving BTC image compression using a fuzzy complement edge operator

被引：17
作者：
Amarunnishad, T. M. [1 ]
Govindan, V. K. [2 ]
Mathew, Abraham T. [1 ]
机构：
[1] Natl Inst Technol, Dept Elect Engn, Calicut 673601, Kerala, India
[2] Natl Inst Technol, Dept Comp Engn, Calicut 673601, Kerala, India
来源：
SIGNAL PROCESSING | 2008年 / 88卷 / 12期
关键词：
block truncation coding; fuzzy complement; membership function; edge image;
D O I：
10.1016/j.sigpro.2008.07.004
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A simple and easy to implement technique for improving block truncation coding (BTC) is proposed. The method is based on replacement of bit block obtained using the conventional BTC method with the fuzzy logical bit block (LBB) such that the sample mean and standard deviation in each image block are preserved. This fuzzy LBB is obtained from the fuzzy edge image by using the Yager involutive fuzzy complement edge operator (YIFCEO). The input image is encoded with the block mean and standard deviation and the fuzzy LBB. Experimental results show an improvement of visual quality of reconstructed images and peak signal-to-noise ratio (PSNR) when compared to the conventional BTC. The raggedness and jagged appearance and the ringing artifacts at sharp edges are greatly reduced in the reconstructed images. With the use of YIFCEO, the proposed method is shown to be more flexible to determine the visual quality of the reconstructed images. (C) 2008 Elsevier B.V. All rights reserved.
引用
收藏
页码：2989 / 2997
页数：9
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