CNCS Center for Nonlinear and Complex Systems
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Publications [#331443] of David J. Brady

Papers Published

  1. Zhang, H; Cao, L; Zhang, H; Zhang, W; Jin, G; Brady, DJ, Efficient block-wise algorithm for compressive holography., Optics Express, vol. 25 no. 21 (October, 2017), pp. 24991-25003 [doi]
    (last updated on 2019/11/13)

    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.