Hardy variation framework for restoration of weather degraded images
type: Item
instance of: scholarly article
title: Hardy variation framework for restoration of weather degraded images
zbMATH Open document ID: 1395.94036
DOI: 10.1155/2015/515349
author: Lin-Yuan He
author: Ji-Zhong Zhao
author: Nanning Zheng
author: Du-Yan Bi
published in: Mathematical Problems in Engineering
publication date: 2018-08-27T00:00:00Z
review text: Summary: Images captured in fog conditions often suffer from weather of poor visibility which fades the colors and reduces the contrast in the scene. This paper proposes a novel regularization method which utilizes space transformation in order to restore the hidden scene with high dynamic range and enhanced edge information. In order to efficiently improve the visualization, the proposed method is built upon contrast stretching which can obtain better estimation map as well as solve the problem. Using minimum energy constraints, the algorithm recovers scene albedo on a number of haze images. Experimental results show that the method effectively achieves accurate and true representation.
Mathematics Subject Classification ID: 94A08
zbMATH DE Number: 6926546
Wikidata QID: Q59118826
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2015/515349
OpenAlex ID: W1875560001
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description: scientific article; zbMATH DE number 6926546