30 September 2016 Single-image full-focus reconstruction using depth-based deconvolution
Basel Salahieh, Jeffrey J. Rodriguez, Sean Stetson, Rongguang Liang
Author Affiliations +
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.
© 2016 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2016/$25.00 © 2016 SPIE
Basel Salahieh, Jeffrey J. Rodriguez, Sean Stetson, and Rongguang Liang "Single-image full-focus reconstruction using depth-based deconvolution," Optical Engineering 56(4), 041302 (30 September 2016). https://doi.org/10.1117/1.OE.56.4.041302
Published: 30 September 2016
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Deconvolution

Point spread functions

Cameras

Image processing

Optical engineering

Visualization

Image filtering

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