JOURNAL ARTICLE

Image Haze Removal Using Dark Channel Prior and Inverse Image

Lei ShiXiao CuiYang LiZhigang GaiShibo ChuJing Shi

Year: 2016 Journal:   MATEC Web of Conferences Vol: 75 Pages: 03008-03008   Publisher: EDP Sciences

Abstract

\nImage haze removal using dark channel prior is prone to encountering color distortion in sky and brightness region. To solve the problem, we proposed an improved method based on inverse image and dark channel prior. Firstly, we applied inverse image to estimating a new transmission map. The new transmission map can be used to modify original transmission map in order to avoid color distortion. Next, fast guider filter was applied to refining transmission map. Using the transmission map, we can recover a high quality haze-free image. Experimental results showed that the proposed method is feasible, and visibility can be enhanced.\n

Keywords:
Haze Visibility Distortion (music) Channel (broadcasting) Transmission (telecommunications) Brightness Computer vision Artificial intelligence Computer science Image (mathematics) Inverse Image quality Image restoration Inverse filter Filter (signal processing) Mathematics Image processing Optics Geography Physics Telecommunications

Metrics

7
Cited By
0.67
FWCI (Field Weighted Citation Impact)
18
Refs
0.79
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 Processing Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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