Abstract
Compressive holography is a relatively time-consuming image estimation in convex optimized problem. We propose an efficient block-wise algorithm to limit the searching space and reduce the calculation time while keeping the reconstruction quality. The effective anti-aliasing boundary of the sub-hologram is located to determine the block size for compressive reconstruction in the total-variation two-step iterative shrinkage/thresholding algorithm. Padded sub-holograms could be reconstructed in parallel by using multi-core processors. Compared with the traditional compressive holography, the block-wise algorithm could take approximately 1/50 of the reconstruction time and achieve an improved reconstruction quality.
Original language | English (US) |
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Pages (from-to) | 24991-25003 |
Number of pages | 13 |
Journal | Optics Express |
Volume | 25 |
Issue number | 21 |
DOIs | |
State | Published - Oct 16 2017 |
Externally published | Yes |
ASJC Scopus subject areas
- Atomic and Molecular Physics, and Optics