An Intelligent Recursive Algorithm for 95% Impulse Noise Removal in Grayscale and Binary Images using Lifting Scheme

被引：0
|
作者：
Siddavatam, Rajesh [1 ]
Sood, Anshul [1 ]
Jayasree, Syamala P. [1 ]
Ghrera, S. P. [1 ]
机构：
[1] Jaypee Univ Informat Technol, Dept Comp Sci, Waknaghat, HP, India
来源：
WORLD CONGRESS ON ENGINEERING AND COMPUTER SCIENCE, WCECS 2011, VOL I | 2011年
关键词：
Image Restoration; Impulse Noise; Binary Images; Salt and Pepper Noise; Median Filter; SALT;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
An Intelligent Recursive Algorithm (IRA) based on lifting filter that can efficiently remove noise is presented in this paper. The algorithm does not need any threshold parameters unlike the algorithms developed so far using PSM and median based filters. It is found from the results that the proposed IRA for noise removal demonstrates much better results with lesser computation time when compared to other existing algorithms. The proposed algorithm even works for binary images corrupted with impulse noise. The image restored using the proposed algorithm is compared with restoration using median based filters. It can be observed that the visual quality is much better and the finer details are very well maintained using the proposed algorithm for both binary and grayscale images
引用
收藏
页码：67 / 71
页数：5
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