2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

Imaging Without Borders

2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

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Paper Detail

Paper IDCIS-1.12
Paper Title IMPROVING ACQUISITION SPEED OF X-RAY PTYCHOGRAPHY THROUGH SPATIAL UNDERSAMPLING AND REGULARIZATION
Authors Prasan Shedligeri, Indian Institute of Technology Madras, India; Florian Schiffers, Semih Barutcu, Northwestern University, United States; Pablo Ruiz, Origen.AI, United States; Aggelos K. Katsaggelos, Oliver Cossairt, Northwestern University, United States
SessionCIS-1: Computational Imaging Systems
LocationArea J
Session Time:Monday, 20 September, 15:30 - 17:00
Presentation Time:Monday, 20 September, 15:30 - 17:00
Presentation Poster
Topic Computational Imaging Systems: Non-Linear Computational Imaging Systems
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract X-ray ptychography is one of the versatile techniques for nanometer resolution imaging. The magnitude of the diffraction patterns is recorded on a detector, and the phase of the diffraction patterns is estimated using phase retrieval techniques. Most phase retrieval algorithms make the solution well-posed by relying on the constraints imposed by the overlapping region between neighboring diffraction pattern samples. As the overlap between neighboring diffraction patterns reduces, the problem becomes ill-posed, and the object cannot be recovered. To avoid the ill-posedness, we investigate the effect of regularizing the phase retrieval algorithm with image priors for various overlap ratios between the neighboring diffraction patterns. We show that the object can be faithfully reconstructed at low overlap ratios by regularizing the phase retrieval algorithm with image priors such as Total-Variation prior and Structure Tensor Prior. We also show the effectiveness of our proposed algorithm on real data acquired from an IC chip with a coherent X-ray beam.