Contrast Enhancement of Images and videos using Histogram Equalization

Abstract

Image enhancement is the process of enhancing or extending quality of noisy and poor image. Contrast factor is a method to find finer details of an image or video file. Contrast enhancement plays a principal arrangement in the development and improvement of visual quality for pattern recognition, computer vision and the processing of digital images. Histogram equalization is an efficient and widely used technique for contrast enhancement. Conservative HE results in unnecessary contrast enchantment which in turn gives processed image and unnatural look and also creates visual artifacts. In this paper varied flavors of poor quality of images and videos with law lightning conditions and foggy or videos with noisy environment are taken. In this paper HE based algorithm is applied on various images and videos have been analyzed using both subjective and objective fidelity criteria. For contrast enhancement of image and video proposed method is preferable.