Abstract
Haze removing from single image is a challenging task in the field of computer vision. Aiming at the problems of low contrast, details loss and serious color distortion, this paper proposed an effective dehazing method. Firstly, the original image is decomposed into reflective image channel and illumination image channel by multi-scale retinex theory; Secondly, the traditional histogram equalization and guided filter are used in the reflective image channel to enhance contrast and compensate details from guided image; Then, 2-D gamma transform in the illumination image channel for light compensation; Finally, white balance on composite image to solve the problem of color distortion. Experimental results demonstrate that the proposed algorithm can efficiently enhance image contrast, as well as improving color visual effects and details of images.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: 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.