Haze removal algorithm based on single-images with chromatic properties
作者：
Highlights：
• A haze removal technique is based on hazy state detection and simple priors (DRM).
• Hazy state detection serves to identify the fog in an image by the linear relationship between brightness and saturation in HSV color space.
• Based on that fog and highlight appear to share the same chromatic properties, DRM can approximate the fog map and object function is to refine haze-free image.
• Proposed method is 2.5% higher than other methods in road segmentation accuracy after haze removal.
摘要
•A haze removal technique is based on hazy state detection and simple priors (DRM).•Hazy state detection serves to identify the fog in an image by the linear relationship between brightness and saturation in HSV color space.•Based on that fog and highlight appear to share the same chromatic properties, DRM can approximate the fog map and object function is to refine haze-free image.•Proposed method is 2.5% higher than other methods in road segmentation accuracy after haze removal.
论文关键词：dehazing,ADAS,Image restoration,Chromatic properties
论文评审过程：Received 13 March 2018, Revised 18 November 2018, Accepted 17 December 2018, Available online 20 December 2018, Version of Record 29 December 2018.
论文官网地址：https://doi.org/10.1016/j.image.2018.12.010
