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In image processing, restoration and noise reduction is expected to improve the qualitative inspection of the image and the performance of quantitative image analysis techniques. Different approaches for image restoration have been proposed, each of which has its own advantages and limitation. This paper combines the adaptive median filtering technique and the non-local means filtering algorithm for image denoising salt and pepper noise to yield a considerably high PSNR. The Non-Local means filter assumes that an image contains an extensive amount of self-similarity and exploits it to denoise an image. The analysis of the statistical results is presented in simulations done using MATLAB to demonstrate the advantages and limitations of using the proposed method over other existing techniques.

Use of Non-Local Means Filter to Denoise Image Corrupted by Salt and Pepper Noise