Physically plausible dehazing for non-physical dehazing algorithms

Javier Vazquez-Corral*, Graham D. Finlayson, Marcelo Bertalmío

*Autor corresponent d’aquest treball

Producció científica: Capítol de llibreCapítolRecercaAvaluat per experts

2 Cites (Scopus)

Resum

Images affected by haze usually present faded colours and loss of contrast, hindering the precision of methods devised for clear images. For this reason, image dehazing is a crucial pre-processing step for applications such as self-driving vehicles or tracking. Some of the most successful dehazing methods in the literature do not follow any physical model and are just based on either image enhancement or image fusion. In this paper, we present a procedure to allow these methods to accomplish the Koschmieder physical model, i.e., to force them to have a unique transmission for all the channels, instead of the per-channel transmission they obtain. Our method is based on coupling the results obtained for each of the three colour channels. It improves the results of the original methods both quantitatively using image metrics, and subjectively via a psychophysical test. It especially helps in terms of avoiding over-saturation and reducing colour artefacts, which are the most common complications faced by image dehazing methods.

Idioma originalAnglès
Títol de la publicacióComputational Color Imaging - 7th International Workshop, CCIW 2019, Proceedings
EditorsTakahiko Horiuchi, Shoji Tominaga, Alain Trémeau, Raimondo Schettini
Pàgines233-244
Nombre de pàgines12
DOIs
Estat de la publicacióPublicada - 2019

Sèrie de publicacions

NomLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volum11418 LNCS
ISSN (imprès)0302-9743
ISSN (electrònic)1611-3349

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