RefocusGAN: Scene Refocusing Using a Single Image

Sakurikar, Parikshit and Mehta, Ishit and Balasubramanian, Vineeth N and Narayanan, P J (2018) RefocusGAN: Scene Refocusing Using a Single Image. In: 15th European Conference on Computer Vision, ECCV, 8-14 September 2018, Germany.

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Abstract

Post-capture control of the focus position of an image is a useful photographic tool. Changing the focus of a single image involves the complex task of simultaneously estimating the radiance and the defocus radius of all scene points. We introduce RefocusGAN, a deblur-then-reblur approach to single image refocusing. We train conditional adversarial networks for deblurring and refocusing using wide-aperture images created from light-fields. By appropriately conditioning our networks with a focus measure, an in-focus image and a refocus control parameter we are able to achieve generic free-form refocusing over a single image.

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IITH Creators:	IITH Creators ORCiD Balasubramanian, Vineeth N UNSPECIFIED
Item Type:	Conference or Workshop Item (Paper)
Subjects:	Computer science
Divisions:	Department of Computer Science & Engineering
Depositing User:	Team Library
Date Deposited:	29 Nov 2018 10:55
Last Modified:	29 Nov 2018 10:55
URI:	http://raiithold.iith.ac.in/id/eprint/4588
Publisher URL:	http://doi.org/10.1007/978-3-030-01225-0_31
OA policy:	http://www.sherpa.ac.uk/romeo/issn/0302-9743/
Related URLs:	Google Scholar

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