A block shift-variant blur model for recovering depth from defocused images

The recovery of depth from defocus involves calculating the depth of various points in a scene by modeling the effect that the focal parameters of the camera have on images acquired with a small depth of field. In this paper, we propose a method that, instead of analyzing an image region in isolation, uses a block shift-variant interactive blur model to account for the interaction among neighboring subimages. Simulation results are presented on the performance of the model.