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In the depth from defocus (DFD) method, two defocused images of a scene are obtained by capturing the scene with different sets of camera parameters. An arbitrary selection of the camera settings can result in observed images whose relative blurring is insufficient to yield a good estimate of the depth. In this paper, we study the effect of the degree of relative blurring on the accuracy of the estimate of the depth by addressing the DFD problem in a maximum likelihood-based framework. Wedoi:10.1109/cvpr.1997.609323 dblp:conf/cvpr/RajagopalanC97 fatcat:uo4nz63jtzdg3ohs54snddvfmm