A ROBUST APPROACH TO IMAGE ENHANCEMENT BASED ON FUSION ALGORITHM

Abstract

Image upgrade is a significant angle to improve the proficiency of any vision-based strategies. Image improvement has an assortment of uses, going from cell phone cameras to therapeutic representation, law requirements, ultrasonic imaging, submerged investigation, and so forth. Various kinds of methods are available to improve the quality of an image, out of which fusion-based image enhancement is one category. Fusion based techniques focus on the weighted combination of multiple images based on the required features from those particular images. This paper presents a detailed analysis of image enhancement techniques based on multi-fusion. It gives an insight into the algorithm used in each method, along with its implementation framework. Finally, a comparison is drawn between the various techniques based on various parameters.