JOURNAL ARTICLE

Image dehazing method by fusing weighted near-infrared image

Yuhei KudoAkira Kubota

Year: 2018 Journal:   2018 International Workshop on Advanced Image Technology (IWAIT) Pages: 1-2

Abstract

We propose a novel color image dehazing method based on fusing a visible and a near-infrared (NIR) images of the same scene. In outdoor scenes, image contrast of the captured images is likely to be lost by haze. Near-infrared light is less scattered than visible light because of its long wavelength; therefore the NIR images have the contrast enough. Our approach restores the image contrast by fusing detail components of the NIR image into the visible image. To prevent overemphasizing haze-free regions by NIR information, we introduce weighting the NIR image using the transmission map. Experimental results show that our method outperforms conventional methods.

Keywords:
Artificial intelligence Contrast (vision) Computer vision Haze Computer science Weighting Image (mathematics) Near-infrared spectroscopy Visible spectrum Infrared Optics Physics

Metrics

16
Cited By
1.30
FWCI (Field Weighted Citation Impact)
6
Refs
0.80
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 Image Processing Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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