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 language | English (US) |
---|---|
Article number | 041302 |
Journal | Optical Engineering |
Volume | 56 |
Issue number | 4 |
DOIs | |
State | Published - Apr 1 2017 |
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)