IIIT Hyderabad Publications |
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RefocusGAN: Scene Refocusing using a Single ImageAuthors: Parikshit Sakurikar,Ishit Mehta,Vineeth Balasubramanian,P J Narayanan Conference: European Conference on Computer Vision 2018 (ECCV-2018 2019) Location Munich, Germany Date: 2019-12-18 Report no: IIIT/TR/2019/3 AbstractPost-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 δ, we are able to achieve generic free-form refocusing over a single image. Full paper: pdf Centre for Visual Information Technology |
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