JOURNAL ARTICLE

A Fast Algorithm for Single Image Dehazing Based on Estimating Illumination Veil

Abstract

We propose a new approach based on estimating illumination veil.The algorithm for non-uniform illumination of fog image has a good result.Given a degraded image, minimum intensity of RGB components of each point can be figured out as haze energy veil with the proposed guided filter, subtracting the hazy energy veil form the hazy image, then maximum intensity of residual RGB components of each point can calculated and filtered as the scene illumination veil.Consequently, the RGB reflectance of each point can be obtained from the illumination/reflection imaging model.The proposed approach can dehaze images and enhance contrast simultaneously, and the global atmospheric light does not need to be calculated to avoid the risk of estimation errors.The proposed algorithm can also be applied to eliminating the scene illumination.Experiment results on a variety of outdoor hazy images demonstrate that the proposed method achieves good restoration in terms of visibility and color fidelity.

Keywords:
Computer vision Artificial intelligence Computer science RGB color model Visibility Energy (signal processing) Channel (broadcasting) Filter (signal processing) Image restoration Distortion (music) Point (geometry) Image (mathematics) Residual Reflection (computer programming) Image processing Algorithm Mathematics Optics Physics

Metrics

2
Cited By
0.21
FWCI (Field Weighted Citation Impact)
14
Refs
0.58
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Image Enhancement Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image Fusion Techniques
Physical Sciences →  Engineering →  Media Technology
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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