DefinePK

Abstract

Image denoising is an important image processing task, both as a process itself, and as a component in other processes. There are many ways to denoise an image, which including gradient-based, sparse representation based, and nonlocal self-similarity-based methods. By using of many denoising algorithms which tend to smooth the fine scale image textures. It removes noise but degrading the visual quality of an image. To avoid this problem, in this paper, we propose a Iterative Gradient Histogram Preservative (GHP) algorithm. This algorithm is developed to enhance the texture structures while removing noise. Our experimental results demonstrate that the proposed GHP algorithm can well preserve the texture appearance in the denoised images, making them look more natural.