Fast Haze Removal for a Single Remote Sensing Image Using Dark Channel Prior
2012年遥感计算机视觉国际会议——Remote sensing images are widely used in various fields. However, they always suffer from the bad weather conditions which also affect their sufficient usage. In order to solve this problem, we propose a simple but effective method to remove haze from a single remote sensing image. Our work is based on the dark channel prior and a common haze imaging model. To eliminate artifacts, we use a low-pass Gaussian filter to refine the coarse estimated atmospheric veil. The experimental results show that our approach achieves good results with very little processing time.
关键词： 计算机 遥感 视觉 国际 2012年遥感计算机视觉国际会议
主讲人：Jiao Long 机构：Beijing University of Aeronautics and Astronautics
时长：0:16:45 年代：2012年
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