A Study on Dark Channel Prior based Image Enhancement Techniques
Anil Singh Parihar, Gokul Gupta · 2020
The existence of haze and cloud degrades the quality of the image taken by camera sensors and decreases their clarity. The degradation can majorly be seen using the transmission map, which is one of the crucial parameters of Dehazing using a single image. The estimation of the transmission map is an underlying issue, and lots of different prior are proposed for that. Among them, one of the widely recognized prior is a dark channel prior (DCP). DCP is based on the statistics that a local patch in the sky-free region often has some pixel which has less-intensity value in at least one of the R.G, and B color channel. In this paper, we first discuss the limitations of the DCP and then give a detailed review on how to overcome the limitations of DCP by improving the calculation of global ambient light and transmission map compared to the standard DCP.