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    Single image haze removal based on a simple addtive model with haze smoothness prior

    Zhang, X. and Wang, T. and Tang, G. and Zhao, L. and Xu, Y. and Maybank, Stephen (2021) Single image haze removal based on a simple addtive model with haze smoothness prior. IEEE Transactions on Circuits and Systems for Video Technology , ISSN 1051-8215. (In Press)

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    Abstract

    Single image haze removal, which is to recover the clear version of a hazy image, is a challenging trask in computer vision. In this paper, an additive haze model is proposed to approximate the hazy image formation process. In contrast with the traditional optical model, it regards the haze as an additive layer to a clean image. The model thus avoids estimating the medium transmission rate and the global atmospherical light. In addition, based on a critical observation that haze changes gradually and smoothly accross the image, a haze smoothness prior is proposed to constrain this model. This prior assumes that the haze layer is much smoother than the clear image. Benefiting from this prior, we can directly separate the clean image from a single hazy image. Experimental results and comparisons with synthetic images and real-world images demonstrate that the proposed method outperforms state-of-the-art single image haze removal algorithms.

    Metadata

    Item Type: Article
    Additional Information: (c) 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
    School: School of Business, Economics & Informatics > Computer Science and Information Systems
    Depositing User: Steve Maybank
    Date Deposited: 15 Nov 2021 11:28
    Last Modified: 17 Nov 2021 07:44
    URI: https://eprints.bbk.ac.uk/id/eprint/46710

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