REFLECTION REMOVAL USING RGB-D IMAGES

被引：0

作者：

Shibata, Toshihiro ^{[1
]}

Akai, Yuji ^{[1
]}

Matsuoka, Ryo ^{[1
]}

机构：

[1] Kagawa Univ, Dept Elect & Informat Engn, 2217-20 Hayashi Cho, Takamatsu, Kagawa 7610396, Japan

来源：

2018 25TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | 2018年

关键词：

RGB-D imaging; reflection removal; structure tensor; total variation; SEPARATION; MINIMIZATION; COMPLETION; ALGORITHM;

D O I：

暂无

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

This paper proposes a novel reflection removal method for RGB-D images that achieve reflection removal and depth map recovery simultaneously. In general, there is a strong structure correlation between an RGB image and a depth map in gradient domain. Based on this fact, we introduce a novel regularization for RGB-D images named the multi-modal structure tensor total variation (MSTV). A proposed minimization problem based on MSTV which is constructed by two minimization problems, reflection removal and depth map recovery, is solved by using alternating direction method of multipliers (ADMM). Experimental results show the effectiveness of our method by applying it to both artificial and real-world images.

引用

页码：1862 / 1866

页数：5

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