Post-capture focusing using regression forest

Abstract

A photograph of the same scene can look different when captured using different camera settings. In this paper, we propose a novel technique to obtain the complete post-capture control over the focus and aperture settings of a traditional camera by acquiring small number of images. In this work, we tackle the problem of deciding which focus-aperture (F-A) combinations should be used to capture the input images, by solving it as a center selection problem. The images captured with the selected settings are then used to reconstruct the images for all possible F-A settings of a traditional camera. For the reconstruction of the images, we have used random regression forest. We show that the proposed approach provides an effective alternative for post-capture control in photography.