6 March 2018 A fast method for single image haze removal based on multiscale dark channel prior
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Proceedings Volume 10610, MIPPR 2017: Parallel Processing of Images and Optimization Techniques; and Medical Imaging; 1061002 (2018) https://doi.org/10.1117/12.2282252
Event: Tenth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2017), 2017, Xiangyang, China
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.
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Hanyu Hong, Hanyu Hong, Zhao Liu, Zhao Liu, Yu Shi, Yu Shi, Xia Hua, Xia Hua, } "A fast method for single image haze removal based on multiscale dark channel prior", Proc. SPIE 10610, MIPPR 2017: Parallel Processing of Images and Optimization Techniques; and Medical Imaging, 1061002 (6 March 2018); doi: 10.1117/12.2282252; https://doi.org/10.1117/12.2282252
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