An Improved Single Image Haze Removal Algorithm Using Image Segmentation

作者：Park Hanhoon^*

来源：IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2014, E97D(9): 2554-2558.

DOI：10.1587/transinf.2014EDL8056

• haze removal
• dark channel prior
• image segmentation
• halo artifact
• atmospheric light

In this letter, we propose an improved single image haze removal algorithm using image segmentation. It can effectively resolve two common problems of conventional algorithms which are based on dark channel prior: halo artifact and wrong estimation of atmospheric light. The process flow of our algorithm is as follows. First, the input hazy image is over-segmented. Then, the segmentation results are used for improving the conventional dark channel computation which uses fixed local patches. Also, the segmentation results are used for accurately estimating the atmospheric light. Finally, from the improved dark channel and atmospheric light, an accurate transmission map is computed allowing us to recover a high quality haze-free image.

• 出版日期2014-9