A Review on Haze Removal Algorithms to Reduce the Effect of Haze on Remotely Sensed Images

摘要

The haze removal techniques plays significant role in various area of vision processing. Haze detection and elimination is a difficult task for improving the quality of digital images. In general these images are choosen by a significant distance as from the visual sensor to given scene. Some atmospheric effects such as haze, fog, smoke, dust etc., degrade the value of the received image. As air light is this conventional methods right choose bright pixels to get generated by light estimation. Nevertheless, several dazzling p produced by way of mild methods, just like coach front lights, might affect the precision on the above-mentioned methods. The overall objective of this paper is to represent the haze removal algorithms in order to reduce the effect of haze on remotely sensed images by using various defogging methods.