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

Basel Salahieh, Jeffrey J Rodriguez, Sean Stetson, Rongguang Liang

Research output: Contribution to journalArticle

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.

Original languageEnglish (US)
Article number041302
JournalOptical Engineering
Volume56
Issue number4
DOIs
StatePublished - Apr 1 2017

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Deconvolution
Optical transfer function
Cameras
artifacts
point spread functions
masking
cameras
output

Keywords

  • adaptive regularization
  • depth-based deconvolution
  • full-focus imaging
  • inverse problems
  • ringing artifacts

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Engineering(all)

Cite this

Single-image full-focus reconstruction using depth-based deconvolution. / Salahieh, Basel; Rodriguez, Jeffrey J; Stetson, Sean; Liang, Rongguang.

In: Optical Engineering, Vol. 56, No. 4, 041302, 01.04.2017.

Research output: Contribution to journalArticle

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