Novel Method: Image Enhancement Based on Dynamic Weighted Parameters

Abstract

The primary aim of image augmentation is to process the image so the resulting image is much more useful than the real one for a particular application of computer vision. This research presents a new method of image enhancement which is based on the weight of dynamical pixels. Our proposed approach is easy to implement as well as other promising factors (weighted localization). This research proposed a Template Image Restoration Mask. This one is specially designed for dark images to remove darkness from images and the resultant image will be more suitable for computer vision applications. Several examples of Human, Animal, Food, and flowers will be provided to clearly show the performance of the proposed approach. This research helps to improve low quality images into high quality security perspectives and computer vision.