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Proceedings Paper

Optimal image acquisition by auto-defocusing
Author(s): Tao Ma; Stanley J. Reeves
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Paper Abstract

This paper presents an optimal image acquisition methodology by replacing the traditional birefringent filter with slight out-of-focus blur generated by the camera lens. Since many cameras already have adjustable lenses and auto-focus systems, our method can exploit existing hardware by simply changing the focusing strategy. During the image acquisition, the optimal defocus setting is automatically adapted to the power spectrum of the scene which is evaluated by a generic autocorrelation model. A criterion to estimate reconstruction errors without the baseband knowledge of the scene is developed in the paper. This metric helps the camera to choose the optimal focus settings. An optimal Wiener filter then recovers the captured scene and yields sharper images with reduced aliasing. The numerical and visual results show that our method is superior to current acquisition methods used by most digital cameras.

Paper Details

Date Published: 24 January 2011
PDF: 8 pages
Proc. SPIE 7876, Digital Photography VII, 787605 (24 January 2011); doi: 10.1117/12.872630
Show Author Affiliations
Tao Ma, Auburn Univ. (United States)
Stanley J. Reeves, Auburn Univ. (United States)


Published in SPIE Proceedings Vol. 7876:
Digital Photography VII
Francisco H. Imai; Feng Xiao, Editor(s)

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