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Proceedings Paper

A fast method for single image haze removal based on multiscale dark channel prior
Author(s): Hanyu Hong; Zhao Liu; Yu Shi; Xia Hua
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Paper Abstract

Aiming at the problem that the computational process in the method for image haze removal based on the dark channel prior is too complicated and too time-consuming, we propose a fast method for single image haze removal based on multiscale dark channel prior. In order to solve the problem that it takes too much time on a high resolution image, we choose to optimize the image haze removal based on dark channel prior algorithm by the method of multiple scales. We deal with rough resolution images and use fast minimum filtering and fast guided filtering to speed up the haze removal algorithm. Therefore, the speed of calculation is accelerated while maintaining the good image effect after haze removal.

Paper Details

Date Published: 6 March 2018
PDF: 6 pages
Proc. SPIE 10610, MIPPR 2017: Parallel Processing of Images and Optimization Techniques; and Medical Imaging, 1061002 (6 March 2018); doi: 10.1117/12.2282252
Show Author Affiliations
Hanyu Hong, Wuhan Institute of Technology (China)
Zhao Liu, Wuhan Institute of Technology (China)
Yu Shi, Wuhan Institute of Technology (China)
Xia Hua, Wuhan Institute of Technology (China)


Published in SPIE Proceedings Vol. 10610:
MIPPR 2017: Parallel Processing of Images and Optimization Techniques; and Medical Imaging
Hong Sun; Henri Maître; Bruce Hirsch, Editor(s)

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