Optimal recovery of depth from defocused images using an MRF model

Abstract

A MAP-MRF based scheme is proposed for simultaneous recovery of the depth and the focused image of; ct scene from two defocused images. The space-variant blur parameter and the focused image of the scene are both modeled as MRFs and their MAP estimates are obtained using simulated annealing. The performance of the proposed scheme is tested on synthetic as well as real data and the estimates of the depth are found to be better than that of existing window-based techniques.