Image Dehazing Based On Image Enhancement Algorithm
Rong Chen · Advances in engineering research/Advances in Engineering Research · 2015
Image is main source for human to acquire information,therefore,accuracy of image information is very important.In real life,due to the reasons of haze in the image,which we have obtained is degraded.The degraded image not only reduces the application value of image,but also brings many negative influences to our real life.So, it is necessary to do research on image dehazing algorithm.The paper introduces simulation analysis based on kinds of enhancement algorithm,such as histogram equalization, homomorphic filtering,retinex etc.At the same time,it also introduces a new method to calculate dark channel prior,and summarizes its advantages and disadvantages through a series of the analysis of simulation.The paper proposes a fast and effective method to deal with the haze degraded image based on dark channel prior,in order to reduce the bad effect in the outdoor visibility system in foggy days.Experimental results demonstrate that it can efficiently remove the haze,enhance the details and color,and recover high quality haze-free images.At last,the paper introduces evaluation criteria of image dehazing algorithm.