Abstract

In applications related to computation of visuals, the clear picture is very crucial component but certain atmospheric conditions like haze and fog prompt the suspended particles which lead to degradation of the image. This hinders the flow of vision systems. Therefore, implementation of image dehazing has become important to improve the throughput and effectiveness of such vision systems. This paper sheds light on execution of dark channel to delete haze from single image. Different measures to optimize this algorithm are discussed with results obtained from certain successful attempts to implement this algorithm.

Keywords:
Haze Computer science Channel (broadcasting) Image (mathematics) Computation Computer vision Component (thermodynamics) Degradation (telecommunications) Artificial intelligence Image restoration Image processing Algorithm Computer network Telecommunications Meteorology Geography

Metrics

28
Cited By
2.56
FWCI (Field Weighted Citation Impact)
21
Refs
0.91
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 Image Fusion Techniques
Physical Sciences →  Engineering →  Media Technology

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