Abstract
In this work we proposed a dark channel enhancement algorithm to solve hue and brightness distortion in the classic dark channel prior algorithm. Our algorithm was designed with the SRAD model (Reducing Anisotropic Diffusion Speckle). In our algorithm, the transmission image was firstly smoothed by the SRAD model and two tolerant parameters to get the precise modification of the input image. After that, a fog image can be better processed by the dark channel prior theory. In the end we compare our algorithm by subjective observation and parameter evaluation. Our algorithm showed better image quality than the classic dark channel prior algorithm.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
