NDLI: Reflection removal using disparity and gradient-sparsity via smoothing algorithm

Content Provider	IEEE Xplore Digital Library
Author	Sirinukulwattana, T. Gyeongmin Choe In So Kweon
Copyright Year	2015
Description	Author affiliation: Robot. & Comput. Vision Lab., KAIST, Daejeon, Solomon Islands (Sirinukulwattana, T.; Gyeongmin Choe; In So Kweon)
Abstract	The purpose of this paper is to introduce a new method for removing reflections from multi-view images taken through a transparent medium, such as pane glass. Our method utilizes an optimization approach based on the probabilistic model of relative smoothness algorithm, which exploits gradient value to separate the image into two sub-layers. As this algorithm has certain limitations on removing reflections, we improve upon it by imposing a gradient-sparsity constraint. This allows the type of reflection captured within a camera's focal length to be effectively removed. We also introduce another constraint on a disparity map which smooths specific areas of reflection layer while simultaneously preserves the sharpness of the main object. These two major contributions are proven to be sufficient in producing high-quality images. Our algorithm demonstrates good results compared with other existing methods as most of the reflection spots have been removed, and the computational time of our system is arguably fast.
Starting Page	1940
Ending Page	1944
File Size	1116185
Page Count	5
File Format	PDF
e-ISBN	9781479983391
DOI	10.1109/ICIP.2015.7351139
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-27
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Mathematical model Erbium Optimization Probabilistic logic Cameras Image color analysis Minimization layer separation Reflection removal
Content Type	Text
Resource Type	Article

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