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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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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Balasubramanian, Vineeth NUNSPECIFIED
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
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