Effective and Optimized Method of Single Image Dehazing Based on Multi-Scale Fusion

Due to bad weather conditions the visibility of outdoor images is ruined. Haze and fog are responsible for this, as they absorb the light and spread in the environment. Haze is the slight obscuration of atmosphere, due to which the clarity of the image is degraded. This paper introduces the enhancement in the visibility of the single degraded image. The information from two or more input, images to generate solitary containing more accurate information of the scene than the resources images. There are three parameters: luminance, chromaticity and saliency, the vital features of image are filtered to maintain the good visibility regions. Specific measures followed by Laplacian and Gaussian pyramid representation, are used to weight the derived image to reduce the artifacts. Eventually the resultant image will improve as compared to the resource images. Computer vision, Image processing, automatic object detection, parallel and distributed processing, remote sensing and robotics are the domains in which several studies and research has been completed. The paper demonstrates the virtue and potency of fusion based way of dehazing applied on single degraded image which is altered. The virtue of our method illustrates to give relatively better results than the more complex pre-existing techniques.