Modified Non-Local Means De-noising With Patch and Edge Patch Based Dictionaries

Rachita Shrivastav, Prof. Varsha Namdeo, Dr. Tripti Arjariya

Digital image processing remains a challenging domain  of programming.  All  digital  images  contain  some  degree  of noise.  Often  times  this  noise  is  introduced  by  the  camera when a picture is taken. Image denoising algorithms attempt to remove this noise from the image. In this paper the method for image denoising based on the nonlocal means (NL-means) algorithm has been implemented and results have been developed   using   matlab   coding.   The   algorithm,   called nonlocal means (NLM), uses concept of Self-Similarity. Also images taken from the digital media like digital camera and the image taken from the internet have been compared. The image that is taken from the internet has got aligned pixel than the image taken from digital media. Experimental results are given to demonstrate the superior denoising performance of the     NL-means denoising technique over various image denoising benchmarks.