Variational histogram equalization for single color image defogging
type: Item
instance of: scholarly article
title: Variational histogram equalization for single color image defogging
zbMATH Open document ID: 1400.94044
DOI: 10.1155/2016/9897064
author: Li Zhou
author: Du-Yan Bi
author: Lin-Yuan He
published in: Mathematical Problems in Engineering
publication date: 2018-10-12T00:00:00Z
review text: Summary: Foggy images taken in the bad weather inevitably suffer from contrast loss and color distortion. Existing defogging methods merely resort to digging out an accurate scene transmission in ignorance of their unpleasing distortion and high complexity. Different from previous works, we propose a simple but powerful method based on histogram equalization and the physical degradation model. By revising two constraints in a variational histogram equalization framework, the intensity component of a fog-free image can be estimated in HSI color space, since the airlight is inferred through a color attenuation prior in advance. To cut down the time consumption, a general variation filter is proposed to obtain a numerical solution from the revised framework. After getting the estimated intensity component, it is easy to infer the saturation component from the physical degradation model in saturation channel. Accordingly, the fog-free image can be restored with the estimated intensity and saturation components. In the end, the proposed method is tested on several foggy images and assessed by two no-reference indexes. Experimental results reveal that our method is relatively superior to three groups of relevant and state-of-the-art defogging methods.
Mathematics Subject Classification ID: 94A08
Mathematics Subject Classification ID: 68U10
zbMATH DE Number: 6953868
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2016/9897064
OpenAlex ID: W2518473814
Wikidata QID: Q59141358
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description: scientific article; zbMATH DE number 6953868