A fast image dehazing method that does not introduce color artifacts

Javier Vazquez-Corral, Adrian Galdran, Praveen Cyriac, Marcelo Bertalmío

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

Abstract

We propose a method for color dehazing with four main characteristics: it does not introduce color artifacts, it does not depend on inverting any physical equation, it is based on models of visual perception, and it is fast, potentially real time. Our method converts the original input image to the HSV color space and works in the saturation and value domains by: (1) reducing the value component via a global constrained histogram flattening; (2) modifying the saturation component in consistency with the previous reduced value; and (3) performing a local contrast enhancement in the value component. Results show that our method competes with the state-of-the-art when dealing with standard hazy images, and outperforms it when dealing with challenging haze cases. Furthermore, our method is able to dehaze a FullHD image on a GPU in 90 ms.

Original languageEnglish
Pages (from-to)607-622
Number of pages16
JournalJournal of Real-Time Image Processing
Volume17
Issue number3
Early online date29 Aug 2018
DOIs
Publication statusPublished - Jun 2020

Keywords

  • Color image processing
  • Image dehazing
  • Vision models

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