A significant part of our daily lives is influenced by images. It is common for people to capture and edit a lot of photos. In this paper, dark images are enhanced and the quality of the images is assessed. Image quality was checked using a CNN algorithm. Dark images will be noisy and low in quantity. The purpose of this paper is to describe a novel method for improving dark images captured at nighttime through dehazing, image replication, denoising, exposure fusion, band ratioing, and weight map creation. Initially, the paper focuses on the quality of the input image. As a second step, they propose an efficient dehazing model using weight map creation to remove haziness and improve image quality. It is crucial and necessary to remove night time haze to keep human eyes from suffering from poor vision. Band ratioing methods can be helpful for analyzing brightness and darkness levels. Based on the results, the proposed methodology is able to improve the image and reduce noise in the dark low light image and produce a good HDR quality tone image.