Depth Estimation and Image Restoration Using Defocused Stereo Pairs
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Geometric Approach to Shape from Defocus
IEEE Transactions on Pattern Analysis and Machine Intelligence
On defocus, diffusion and depth estimation
Pattern Recognition Letters
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A MAP-MRF based scheme is proposed for recovering the depth and the focused image of a 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 both synthetic as well as real data and the estimates of the depth are found to be better than that of the existing window-based technique.