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To obtain optimal defocus estimates, we compare the amount of contrast at each level of detail (i.e. spatial frequency) in a particular natural image patch to the amounts that are characteristic of different focus errors. The characteristic amounts depend on the properties of natural scenes, and the optics, sensors, and noise of the imaging system. We obtain absolute, signed estimates of the focus error from image data alone.  Estimates can be computed efficiently (~1 millisecond). Performance is accurate and precise.

  1. •Burge J, Geisler WS (2011). Optimal defocus estimation in individual natural images. Proceedings of the National Academy of Sciences, 108 (40): 16849-16854 [ pdf ]

  1. •Burge J & Geisler WS (2012). Optimal defocus estimates from individual images for autofocusing a digital camera.

   Proceedings of the SPIE, 8299, 82990: E1-E12, January: Burlingame, CA [ pdf ]

Relevant publications

  1. •Burge J, Geisler WS (Feb. 2011) An image-based method for the optimal estimation of defocus in individual natural images. Provisional Patent 22084-P069.

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