Bilayer Blind Deconvolution with the Light Field Camera

Jin, Meiguang; Chandramouli, Paramanand; Favaro, Paolo (December 2015). Bilayer Blind Deconvolution with the Light Field Camera. In: IEEE International Conference on Computer Vision Workshop (ICCVW). 07.-13.12.2015. 10.1109/ICCVW.2015.36

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In this paper we propose a solution to blind deconvolution of a scene with two layers (foreground/background). We show that the reconstruction of the support of these two layers from a single image of a conventional camera is not possible. As a solution we propose to use a light field camera. We demonstrate that a single light field image captured with a Lytro camera can be successfully deblurred. More specifically, we consider the case of space-varying motion blur, where the blur magnitude depends on the depth changes in the scene. Our method employs a layered model that handles occlusions and partial transparencies due to both motion blur and out of focus blur of the plenoptic camera. We reconstruct each layer support, the corresponding sharp textures, and motion blurs via an optimization scheme. The performance of our algorithm is demonstrated on synthetic as well as real light field images.

Item Type: Conference or Workshop Item (Paper)
Division/Institute: 08 Faculty of Science > Institute of Computer Science (INF) > Computer Vision Group (CVG)
08 Faculty of Science > Institute of Computer Science (INF)
UniBE Contributor: Jin, Meiguang; Chandramouli, Paramanand and Favaro, Paolo
Subjects: 000 Computer science, knowledge & systems
500 Science > 510 Mathematics
Language: English
Submitter: Paolo Favaro
Date Deposited: 28 Jun 2016 14:27
Last Modified: 28 Jun 2016 14:27
Publisher DOI: 10.1109/ICCVW.2015.36
BORIS DOI: 10.7892/boris.82456
URI: http://boris.unibe.ch/id/eprint/82456

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