Physical-based optimization for non-physical image dehazing methods
Vazquez-Corral, Javier (Universitat Pompeu Fabra)
Finlayson, Graham D. (University of East Anglia)
Bertalmío, Marcelo (Universitat Pompeu Fabra)

Fecha:	2020
Descripción:	13 pàg.
Resumen:	Images captured under hazy conditions (e. g. fog, air pollution) usually present faded colors and loss of contrast. To improve their visibility, a process called image dehazing can be applied. Some of the most successful image dehazing algorithms are based on image processing methods but do not follow any physical image formation model, which limits their performance. In this paper, we propose a post-processing technique to alleviate this handicap by enforcing the original method to be consistent with a popular physical model for image formation under haze. Our results improve upon those of the original methods qualitatively and according to several metrics, and they have also been validated via psychophysical experiments. These results are particularly striking in terms of avoiding over-saturation and reducing color artifacts, which are the most common shortcomings faced by image dehazing methods.
Ayudas:	European Commission 761544 European Commission 780470 Agencia Estatal de Investigación PGC2018-099651-B-I00
Derechos:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Lengua:	Anglès
Documento:	Article ; recerca ; Versió publicada
Materia:	Vision ; Color ; Visual Optics
Publicado en:	Optics express, Vol. 28, issue 7 (March 2020) , p. 9327-9339, ISSN 1094-4087

DOI: 10.1364/OE.383799
PMID: 32225542

13 p, 954.3 KB

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