Visibility Restoration for Single Hazy Image Using Dual Prior Knowledge

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ID: 35585
2017
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Abstract
Single image haze removal has been a challenging task due to its super ill-posed nature. In this paper, we propose a novel single image algorithm that improves the detail and color of such degraded images. More concretely, we redefine a more reliable atmospheric scattering model (ASM) based on our previous work and the atmospheric point spread function (APSF). Further, by taking the haze density spatial feature into consideration, we design a scene-wise APSF kernel prediction mechanism to eliminate the multiple-scattering effect. With the redefined ASM and designed APSF, combined with the existing prior knowledge, the complex dehazing problem can be subtly converted into one-dimensional searching problem, which allows us to directly obtain the scene transmission and thereby recover visually realistic results via the proposed ASM. Experimental results verify that our algorithm outperforms several state-of-the-art dehazing techniques in terms of robustness, effectiveness, and efficiency.
Reference Key
ju2017visibilitymathematical Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Ju, Mingye;Gu, Zhenfei;Zhang, Dengyin;Qin, Haoxing;
Journal mathematical problems in engineering
Year 2017
DOI
DOI not found
URL
http://dx.doi.org/10.1155/2017/8190182
Keywords Keywords not found

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