A METHOD OF IMPULSE NOISE DETECTION BY USING LAPLACIANGAUSSIAN FILTER ADAPTED WITH GENETIC ALGORITHM

Abstract

In this paper, impulse noise detector found in an image by using Laplacian-Gaussian
filter is proposed. The LG filter used for smoothing the noise in image. The flat parts of
contour, detected by a set of different threshold for noise detected to perform the task of
removing impulse noise. Finally, based on the genetic algorithm, the genetic learning the
process adjusts the parameters of image base. Based on the criteria of Peak Signal to
Noise Ratio(PSNR), Mean Square Error(MSE) and Mean Absolute Error(MAE) to
achieves a better performance that proposed method performs significantly better than
traditional methods