DocumentCode
3398189
Title
Laplace equation based Adaptive Median Filter for highly corrupted images
Author
Shanmugavadivu, P. ; Jeevaraj, P. S. Eliahim
Author_Institution
Dept. of Comput. Sci. & Applic., Gandhigram Rural Inst., Gandhigram, India
fYear
2012
fDate
10-12 Jan. 2012
Firstpage
1
Lastpage
5
Abstract
This paper presents a newly devised noise filter namely, “Laplace Equation based Adaptive Median Filter for highly corrupted images” (LEAM) to denoise the images corrupted by fixed-value impulse noise. The performance of the proposed filter is proved to be better in terms of Peak Signal-to-Noise Ratio and human visual perception. This filter is proved to be effective in denoising even the highly corrupted images with the noise probability of 90%.
Keywords
Laplace equations; image denoising; image restoration; median filters; probability; Laplace equation; adaptive median filter; fixed-value impulse noise; highly corrupted image denoising; human visual perception; noise filter; peak signal-to-noise ratio; Adaptive filters; Image restoration; Informatics; Maximum likelihood detection; Nonlinear filters; PSNR; Adaptive median filter; Fixed-value impulse noise; PDE; highly corrupted image;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Communication and Informatics (ICCCI), 2012 International Conference on
Conference_Location
Coimbatore
Print_ISBN
978-1-4577-1580-8
Type
conf
DOI
10.1109/ICCCI.2012.6158794
Filename
6158794
Link To Document