Special Section on Optical Computational Imaging

Single-image full-focus reconstruction using depth-based deconvolution

[+] Author Affiliations
Basel Salahieh

University of Arizona, Department of Electrical and Computer Engineering, 1230 East Speedway Boulevard, Tucson, Arizona 85721, United States

University of Arizona, College of Optical Sciences, 1630 East University Boulevard, Tucson, Arizona 85721, United States

Jeffrey J. Rodriguez

University of Arizona, Department of Electrical and Computer Engineering, 1230 East Speedway Boulevard, Tucson, Arizona 85721, United States

Sean Stetson

Google Inc., 1600 Amphitheatre Parkway, Mountain View, California 94043, United States

Rongguang Liang

University of Arizona, College of Optical Sciences, 1630 East University Boulevard, Tucson, Arizona 85721, United States

Opt. Eng. 56(4), 041302 (Sep 30, 2016). doi:10.1117/1.OE.56.4.041302
History: Received April 20, 2016; Accepted June 21, 2016
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Abstract.  In contrast with traditional extended depth-of-field approaches, we propose a depth-based deconvolution technique that realizes the depth-variant nature of the point spread function of an ordinary fixed-focus camera. The developed technique brings a single blurred image to focus at different depth planes which can be stitched together based on a depth map to output a full-focus image. Strategies to suppress the deconvolution’s ringing artifacts are implemented on three levels: block tiling to eliminate boundary artifacts, reference maps to reduce ringing initiated by sharp edges, and depth-based masking to mitigate artifacts raised by neighboring depth-transition surfaces. The performance is validated numerically for planar and multidepth objects.

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© 2016 Society of Photo-Optical Instrumentation Engineers

Citation

Basel Salahieh ; Jeffrey J. Rodriguez ; Sean Stetson and Rongguang Liang
"Single-image full-focus reconstruction using depth-based deconvolution", Opt. Eng. 56(4), 041302 (Sep 30, 2016). ; http://dx.doi.org/10.1117/1.OE.56.4.041302


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