An L0-regularized global anisotropic gradient prior for single-image de-raining

Volume: 98, Pages: 628 - 651
Published: Oct 1, 2021
Abstract
We propose a method based on a global anisotropic gradient prior (GAGP) for addressing the problem of rain streak removal. We observe that both images and rain streaks have anisotropy at edges, and that the rain distribution in images is sparse. We therefore propose an L0-regularized sparse term with an L0-regularized GAGP term to efficiently detect the rain streaks. We applied the L0-regularized GAGP as the image regularization term to protect...
Paper Details
Title
An L0-regularized global anisotropic gradient prior for single-image de-raining
Published Date
Oct 1, 2021
Volume
98
Pages
628 - 651
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.