Title
High-quality reflection separation using polarized images.
Abstract
In this paper, we deal with a problem of separating the effect of reflection from images captured behind glass. The input consists of multiple polarized images captured from the same view point but with different polarizer angles. The output is the high quality separation of the reflection layer and the background layer from the images. We formulate this problem as a constrained optimization problem and propose a framework that allows us to fully exploit the mutually exclusive image information in our input data. We test our approach on various images and demonstrate that our approach can generate good reflection separation results.
Year
DOI
Venue
2011
10.1109/TIP.2011.2155080
IEEE Transactions on Image Processing
Keywords
Field
DocType
polarizer angles,view point,mutually exclusive image information,input data,high-quality reflection separation,reflection separation,different polarizer angle,light reflection,exclusive image information,reflection layer,optimization problem,polarized images,light polarisation,background layer,high quality separation,constrained optimization problem,various image,image enhancement,good reflection separation result,mathematical model,reflection,digital photography,indexing terms
Computer vision,Digital photography,Specular reflection,Polarizer,Exploit,Artificial intelligence,Constrained optimization problem,Optical polarization,Reflection (physics),Mathematics,Mutually exclusive events
Journal
Volume
Issue
ISSN
20
12
1941-0042
Citations 
PageRank 
References 
7
0.53
13
Authors
3
Name
Order
Citations
PageRank
Naejin Kong1683.63
Yu-Wing Tai2202892.75
Sung Yong Shin31904168.33