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
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;
Conference_Titel :
Computer Communication and Informatics (ICCCI), 2012 International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4577-1580-8
DOI :
10.1109/ICCCI.2012.6158794
