Optimal selection of camera parameters for recovery of depth from defocused images
- 1 January 1997
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 219-224
- https://doi.org/10.1109/cvpr.1997.609323
Abstract
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. We propose a criterion for optimal selection of camera parameters to obtain an improved estimate of the depth. The optimality criterion is based on the Cramer-Rao bound of the variance of the error in the estimate of blur. Simulations as well as experimental results on real images are presented for validation.Keywords
This publication has 19 references indexed in Scilit:
- Iterative identification and restoration of imagesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Maximum likelihood estimation of blur from multiple observationsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Space-Variant Approaches to Recovery of Depth from Defocused ImagesComputer Vision and Image Understanding, 1997
- Simple range cameras based on focal errorJournal of the Optical Society of America A, 1994
- An investigation of methods for determining depth from focusPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1993
- Maximum likelihood parametric blur identification based on a continuous spatial domain modelIEEE Transactions on Image Processing, 1992
- Maximum likelihood image and blur identification: a unifying approachOptical Engineering, 1990
- Image identification and restoration based on the expectation-maximization algorithmOptical Engineering, 1990
- A New Sense for Depth of FieldPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1987
- Fundamentals of Electronic Imaging SystemsPublished by Springer Nature ,1986