Lunar Image Enhancement Algorithm Based on Dark Channel Prior & Space Light Imaging Model

Abstract

Investigate the effects of dark channel, space light environment and the improved imaging models on the enhancement of lunar images. As the Dark Channel Prior Theory has gained attention from scholars and the professional field, it will be applied to many other aspects and areas. It is very clear that lunar image enhancement is very important to the further study of lunar science. This master thesis aims to use dark channel, space light and lunar imagery model to enhance lunar images, laying a solid foundation for the future investigation of lunar science. There are many published researches on the lunar image enhancement algorithm, but studies related to using dark channel to enhance lunar images are still in the initial stage and less fruitful.