Abstract
Retinex method mainly consists of two steps: estimation and normalization of illumination. The illumination is estimated as a smooth version of input image using low-pass filters. Some high-frequency components of image will inevitably be lost in the filtering processing, and images will lose details and information, correspondingly. In this paper, we propose a novel Retinex method applying concepts of wavelet transform, which decrease the damage in the detail information and preserve the edges and location details of images efficiently. As the illumination is low-frequency component compared with the reflectance, the illumination is estimated just using the coarse component in the wavelet expansion of the image. The experimental results shows that, compared with traditional Retinex Algorithm, the result images using modified Retinex Algorithm have greater entropy and average gradient, as well as smaller standard variance, which indicating that the images contain more details and information, and have more uniform illumination.
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.
