Pixel Analysis Technique for Image Denoising

Abstract

Abstract-The image de-noising is the technique which is applied to de-noise the image. The noise is the extra pixels which are added on the image to reduce image quality. In the previous times, various techniques have been proposed which remove noisy pixels from the image. In the base paper, technique of sparse matrix technique proposed which divide the whole image into small matrixes and similarity of each matrix is calculated. The matrix which is maximum dissimilarity is removed from the image. This leads to remove noisy pixels from the image and increase image quality in terms of various parameters. In this work, technique of probability is proposed which calculate probability of each pixel and pixels which has maximum probability to be noisy is remove the image. The proposed technique is implemented in MATLAB and compare with existing technique of sparse matrix. It is been analyzed that proposed technique performs well in terms of various matrix.

A New Hybrid Discrete Firefly Algorithm for Solving the Traveling Salesman Problem

“…Thus, it is an effective operation to exploit the solutions of search space for local search. In the literature, different types of crossover operators were introduced in [19]. One of which is the partially matched crossover (PMX) that is widely used for problems with permutation representation such as TSP.…”