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AUTHOR(S):

P.M.K.Prasad

 

TITLE

Color and gray scale image denoising using modified Decision Based unsymmetric Trimmed Median Filter

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KEYWORDS

MF,DBA,MDBA,PSMF.PSNR.

ABSTRACT

Image denoising is very important in most of the image processing applications There are different types of noises in the image processing like Gaussian noise, speckle noise, random noise, Salt & pepper noise etc. Among these the Salt and pepper noise is very dangerous noise compared to other noises. A modified decision based unsymmetrical trimmed median filter algorithm for the restoration of gray scale, and color images that are highly corrupted by salt and pepper noise is proposed. The proposed algorithm replaces the noisy pixel by trimmed median value when other pixel values, 0’s and 255’s are present in the selected window and when all the pixel values are 0’s and 255’s then the noise pixel is replaced by mean value of all the elements present in the selected window. This proposed algorithm shows better results compared to the Standard Median Filter (MF), Decision Based Algorithm (DBA), Modified Decision Based Algorithm (MDBA), and Progressive Switched Median Filter (PSMF). The proposed algorithm is tested against different grayscale and color images and it gives better Peak Signal-to-Noise Ratio (PSNR) .The proposed algorithm is effective for salt and pepper noise removal in images at high noise densities.

Cite this paper

P.M.K.Prasad. (2016) Color and gray scale image denoising using modified Decision Based unsymmetric Trimmed Median Filter. International Journal of Signal Processing, 1, 71-76