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Optimal Recovery of Depth from Defocused Images Using an MRF Model

A. N. Rajagopalan, Subhasis Chaudhuri
ICCV 1998 pp. 1047-1052
doi:10.1109/ICCV.1998.710846 /iccv/1998/rajagopalan1998iccv-optimal/

Abstract

A MAP-MRF based scheme is proposed for simultaneous recovery of the depth and the focused image of; ct 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 synthetic as well as real data and the estimates of the depth are found to be better than that of existing window-based techniques.

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Cite

Text

Rajagopalan and Chaudhuri. "Optimal Recovery of Depth from Defocused Images Using an MRF Model." IEEE/CVF International Conference on Computer Vision, 1998. doi:10.1109/ICCV.1998.710846

Markdown

[Rajagopalan and Chaudhuri. "Optimal Recovery of Depth from Defocused Images Using an MRF Model." IEEE/CVF International Conference on Computer Vision, 1998.](https://mlanthology.org/iccv/1998/rajagopalan1998iccv-optimal/) doi:10.1109/ICCV.1998.710846

BibTeX

@inproceedings{rajagopalan1998iccv-optimal,
  title     = {{Optimal Recovery of Depth from Defocused Images Using an MRF Model}},
  author    = {Rajagopalan, A. N. and Chaudhuri, Subhasis},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {1998},
  pages     = {1047-1052},
  doi       = {10.1109/ICCV.1998.710846},
  url       = {https://mlanthology.org/iccv/1998/rajagopalan1998iccv-optimal/}
}