Paper Info
Title
Reflection Removal Using A Dual-Pixel Sensor
Abstract
Reflection removal is the challenging problem of removing unwanted reflections that occur when imaging a scene that is behind a pane of glass. In this paper, we show that most cameras have an overlooked mechanism that can greatly simplify this task. Specifically, modern DLSR and smartphone cameras use dual pixel (DP) sensors that have two photodiodes per pixel to provide two sub-aperture views of the scene from a single captured image. "Defocus-disparity" cues, which are natural by-products of the DP sensor encoded within these two sub-aperture views, can be used to distinguish between image gradients belonging to the in focus background and those caused by reflection interference. This gradient information can then be incorporated into an optimization framework to recover the background layer with higher accuracy than currently possible from the single captured image. As part of this work, we provide the first image dataset for reflection removal consisting of the sub-aperture views from the DP sensor.
Year
DOI
Venue
2019
10.1109/CVPR.2019.00165
2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019)
Field
DocType
ISSN
Computer vision,Computer science,Artificial intelligence,Pixel
Conference
1063-6919
Citations 
PageRank 
References 
5
0.40
0
Authors
2
Name
Order
Citations
PageRank
Abhijith Punnappurath193.16
Michael S. Brown22122129.13