title: Light Field Imaging Based Accurate Image Specular Highlight Removal.
abstract: Specular reflection removal is indispensable to many computer vision tasks. However, most existing methods fail or degrade in complex real scenarios for their individual drawbacks. Benefiting from the light field imaging technology, this paper proposes a novel and accurate approach to remove specularity and improve image quality. We first capture images with specularity by the light field camera (Lytro ILLUM). After accurately estimating the image depth, a simple and concise threshold strategy is adopted to cluster the specular pixels into "unsaturated" and "saturated" category. Finally, a color variance analysis of multiple views and a local color refinement are individually conducted on the two categories to recover diffuse color information. Experimental evaluation by comparison with existed methods based on our light field dataset together with Stanford light field archive verifies the effectiveness of our proposed algorithm.
authors.affiliation: Shenzhen Key Laboratory of Broadband Network & Multimedia, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China.
authors.forename: Haoqian
authors.initials: H
authors.lastname: Wang
authors.affiliation: Shenzhen Key Laboratory of Broadband Network & Multimedia, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China.
authors.forename: Chenxue
authors.initials: C
authors.lastname: Xu
authors.affiliation: Shenzhen Key Laboratory of Broadband Network & Multimedia, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China.
authors.forename: Xingzheng
authors.initials: X
authors.lastname: Wang
authors.affiliation: Shenzhen Key Laboratory of Broadband Network & Multimedia, Graduate School at Shenzhen, Tsinghua University, Shenzhen, China.
authors.forename: Yongbing
authors.initials: Y
authors.lastname: Zhang
authors.affiliation: Department of Software Engineering, Southwest Jiaotong University, Chengdu, China.
authors.forename: Bo
authors.initials: B
authors.lastname: Peng
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D003116:Color; D003198:Computer Simulation; D003199:Computer Systems; D007089:Image Enhancement; D007090:Image Interpretation, Computer-Assisted; D008027:Light; D010363:Pattern Recognition, Automated