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Performance Analysis of Various Impulse Noise Reduction Techniques in Images

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Executive Summary

Image filtering algorithms are applied on images to remove salt-and-pepper noise that are either present in the image during capturing or injected in to the image during transmission. In this context, two denoising algorithms are compared and performances of the filters are compared using the Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE) and computational time. Images are often corrupted by Impulse noise, also known as salt and pepper noise. Image and video signals might be corrupted by impulse noise in the process of signal acquisition and transmission, so variety of denoising techniques has been proposed.

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