Abstract
In the hazy weather, the image of outdoor scene is degraded by suspended particles. Recently, great progresses have been made on single image haze removal. Therefore an accurate quality metric is required. Although image quality assessment has been extensively studied these past few decades, few methods can be applied in this area since there is no reference image. This paper proposed an evaluation metric combining the ascension of contrast degree with the structural similarity to deal with the problem. The ascension of the contrast degree and the structural similarity are computed respectively based on the spatial frequency contrast and the edges consistency between the hazy and the dehazed image. At last, we evaluate the state-of-the-art image haze removal methods based on our evaluation metric.
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.
