Photo-realistic depth-of-field effects synthesis based on real camera parameters

Authors:
Huei-Yung Lin;Kai-Da Gu
Affiliations:
Department of Electrical Engineering, National Chung Cheng University, Chia-Yi, Taiwan, R.O.C.;Department of Electrical Engineering, National Chung Cheng University, Chia-Yi, Taiwan, R.O.C.
Venue:
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part I
Year:
2007

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Abstract

Depth-of-field (DOF) is an important visual cue used for computer graphics and photography to illustrate the focus of attention. In this work, we present a method for photo-realistic DOF simulation based on the characteristics of a real camera system. Both the depth-blur relation for different camera focus settings and the nonlinear intensity response of image sensors are modeled. The camera parameters are calibrated and used for defocus blur synthesis. For a well-focused real scene image, the DOF effect is generated by spatial convolution with a distance dependent circular Gaussian mask. Experiments have shown that the difference between the images synthesized using the proposed method and the real images captured by a camera is almost indistinguishable.