Space-Variant Approaches to Recovery of Depth from Defocused Images

The recovery of depth from defocused images involves calcurecovering the depth [2]. lating the depth of various points in a scene by modeling the The problem addressed in this paper is as follows— effect that the focal parameters of the camera have on images Given a scene with object points at unknown depths from acquired with a small depth of field. In the approach to depth the camera, obtain the distances using the depth from from defocus (DFD), previous methods assume the depth to defocus (DFD) technique. Depth from defocus is a passive be constant over fairly large local regions and estimate the ranging method that uses a single camera. It is a generalized depth through inverse filtering by considering the system to be version of the depth from focusing method [3] in the sense shift-invariant over those local regions. But a subimage when that it is not required to focus an object in order to find analyzed in isolation introduces errors in the estimate of the its depth. Instead, two images of the object (which may or depth. In this paper, we propose two new approaches for esti-