Gradient Histogram edge preservation with Non-Local Mean filtering for image denoising

Images contain several types of noises due to belonging factors. Sensor Defects, Lens Distortion, Software Artifacts, blur etc. are the belonging factors which affects the quality of images. If you want to produce the quality of the images to be higher than the belonging factors should not be ignored. In this paper using Gradient Histogram Preservative (GHP) and Non-Local Mean filtering. GHP is developed to improve the texture structures while eliminating noise and non local median filter generally replaces the intensity value of the center pixel with median value. However the filter approaches might blur the image, some fine details and edges of the test image will not be preserved.