A Survey On Image Filtring Algorithms

Abstract

Image processing, especially filtering has become important because there are many factors that affect the quality and purity of the images. For example, the change in pixel density or illumination will negatively affect the images; therefore noise should be removed using filtering. Image filtering is useful for many applications including smoothing, sharping, removing noise and edges enhancement. This paper analyses the various algorithms used for image filtering which improves image quality and clarity. The first section introduces different algorithms that are used in image filtering and how each algorithm processes the image. Then, a discussion and analysis of the literature review has been done to classify and compare between the algorithms studied.