Minmap-based Image and Video Haze Removal

• Main Authors: Tzu-Chun Chen, 陳姿君
• Other Authors: Ming-Sui Lee
• Format: Others
• Language: en_US
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/67391462808578702266

碩士 === 國立臺灣大學 === 資訊工程學研究所 === 103 === A novel image and video haze removal method based on minmap is pro- posed in this paper. Minmap is defined as the channel which contains the minimal component of three RGB color channels. Because one image may contain many regions which differ in color, minmap contains different regions which show the different properties. Based on this observation, atmospheric light is estimated by region growing, dark channel prior and smooth filter we proposed separately for each minmap region. To compute veil, we estimate the whiteness based on minmap first. Then, median filter, bilateral filter and guided filter are used on whiteness to get appropriate veil. After atmospheric light and veil are computed, the hazy images can be successfully recovered using haze image model. For video version, space-time filter is proposed to ensure the temporal and spatial coherence. Compared with exiting state of the art methods, our method could have better haze removal effects. The image results demonstrate that the results are vivid and have the properly contrast in all of the regions. The video results show that the video is high quality with temporal and spatial coherence.