Compressive reconstruction algorithm based adaptive dictionary learning is developed and used for single-exposure non-scanning 3D imaging by interferenceless Coded Aperture Correlation Holography. Background noise and reconstruction error are suppressed effectively while reconstruction accuracy is improved.
|Title of host publication||Proceedings Imaging and Applied Optics Congress|
|Subtitle of host publication||3D Image Acquisition and Display: Technology, Perception and Applications, 3D 2020|
|Publisher||OSA - The Optical Society|
|Publication status||Published - 2020|
|Event||3D Image Acquisition and Display: Technology, Perception and Applications, 3D 2020 - Part of Imaging and Applied Optics Congress - Virtual, Online, United States|
Duration: 22 Jun 2020 → 26 Jun 2020
|Name||Optics InfoBase Conference Papers|
|Conference||3D Image Acquisition and Display: Technology, Perception and Applications, 3D 2020 - Part of Imaging and Applied Optics Congress|
|Period||22/06/20 → 26/06/20|
Bibliographical noteFunding Information:
This work is supported by National Science Foundation of China (NSFC) (61575009), Beijing Natural Science Foundation (4182016). References 1. A. Vijayakumar and J. Rosen, Interferenceless coded aperture correlation holography-a new technique for recording incoherent digital holograms without two-wave interference, Opt. Exp. 2017, 25(12):13883–13896. 2. M. R. Rai, A. Vijayakumar, and J. Rosen, Non-Linear adaptive three-dimensional imaging with interferencelss coded aperture correlation holography (I-COACH), Opt. Exp.2018,25(14):18143-18154. 3. M. R. Rai, A. Vijayakumar, J. Rosen. Single camera shot interferenceless coded aperture correlation holography. Opt. Lett., 2017, 42(19): 3992-3995. 4. Elad M, Aharon M. Image Denoising Via Sparse and Redundant Representations over Learned Dictionaries, IEEE. Trans. on Image Processing, 2006, 15(12):3736-3745.
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