CORRELATION COEFFICIENT BASED DETECTION ALGORITHM FOR REMOVAL OF RANDOM VALUED IMPULSE NOISE IN IMAGES

Abstract

This paper aims to present an alternative and novel method for removal of Random Valued Impulse Noise in corrupted images which is a challenging task as compared to the removal of fixed valued impulse noise. The proposed algorithm i.e. “Correlation Coefficient Based Detection Algorithm” (CCBD) is a two stage filter. The Detection stage of CCBD utilises the Correlation Coefficients of the absolute differences of the pixels in detection window with their Mean, the Central Pixel and a predefined value respectively. The Filtering stage of CCBD utilises the Fuzzy Switching Weighted Median filter (FSWM) for restoration of the corrupted image. The performance of CCBD has been compared to some of the existing methods e.g. Rank Order Absolute Difference (ROAD), Rank Order Logarithmic Difference (ROLD), Triangle Based Linear Interpolation (TBLI) and Adaptive Switching Median (ASM) algorithms. The Comparative analysis in terms of MSE, PSNR and SSIM show that the CCBD is superior to the existing methods in all parameters.

Keywords

• Random Valued Impulse Noise
• Correlation Coefficient
• High Density Noise
• Fuzzy Switching Weighted Median Filter
• Noise Removal
• Correlation Coefficient based Detection Algorithm