Single image deraining via decorrelating the rain streaks and background scene in gradient domain
作者：
Highlights：
• We propose a single image de-raining method in gradient domain based on the observation that the influence of rain streaks on X- and Y- gradients shows different statistical properties.
• A rain-free direction is first proposed, along which a rain image or a block is least-affected in gradient domain. It is effective in recovering image texture details.
• To extract the rain-free gradient along the direction perpendicular to the rain-free one, a novel decomposition model is proposed, which is formulated as an objective function with three terms: an anisotropic total variation term, a low-rank constraint and a de-correlation term.
摘要
•We propose a single image de-raining method in gradient domain based on the observation that the influence of rain streaks on X- and Y- gradients shows different statistical properties.•A rain-free direction is first proposed, along which a rain image or a block is least-affected in gradient domain. It is effective in recovering image texture details.•To extract the rain-free gradient along the direction perpendicular to the rain-free one, a novel decomposition model is proposed, which is formulated as an objective function with three terms: an anisotropic total variation term, a low-rank constraint and a de-correlation term.
论文关键词：Rain removal,Gradient domain,Decomposition model
论文评审过程：Received 5 July 2017, Revised 10 January 2018, Accepted 11 February 2018, Available online 22 February 2018, Version of Record 26 February 2018.
论文官网地址：https://doi.org/10.1016/j.patcog.2018.02.016
