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Depth from defocus and defocus deblurring from a single image are twochallenging problems that are derived from the finite depth of field inconventional cameras. Coded aperture imaging is one of the techniques that isused for improving the results of these two problems. Up to now, differentmethods have been proposed for improving the results of either defocusdeblurring or depth estimation. In this paper, a multi-objective function isproposed for evaluating and designing aperture patterns with the aim ofimproving the results of both depth from defocus and defocus deblurring.Pattern evaluation is performed by considering the scene illumination conditionand camera system specification. Based on the proposed criteria, a singleasymmetric pattern is designed that is used for restoring a sharp image and adepth map from a single input. Since the designed pattern is asymmetric,defocus objects on the two sides of the focal plane can be distinguished. Depthestimation is performed by using a new algorithm, which is based on imagequality assessment criteria and can distinguish between blurred objects lyingin front or behind the focal plane. Extensive simulations as well asexperiments on a variety of real scenes are conducted to compare our aperturewith previously proposed ones.

Image and Depth from a Single Defocused Image Using Coded Aperture Photography