RefocusGAN: Scene Refocusing using a Single Image

Parikshit Sakurikar, Ishit Mehta, Vineeth N. Balasubramanian, P. J. Narayanan; Proceedings of the European Conference on Computer Vision (ECCV), 2018, pp. 497-512


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.

Related Material

author = {Sakurikar, Parikshit and Mehta, Ishit and Balasubramanian, Vineeth N. and Narayanan, P. J.},
title = {RefocusGAN: Scene Refocusing using a Single Image},
booktitle = {Proceedings of the European Conference on Computer Vision (ECCV)},
month = {September},
year = {2018}