Computational Imaging

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Imaging, be it in optics, acoustics, RF, X-ray, THz, NMR (Nuclear Magnetic Resonance), etc., has witnessed tremendous progress in the last decades, driven not only by technical advances (new detectors, modulators, sources), but also by the revolution in signal processing and machine learning of the last two decades, from compressive sensing, phase-retrieval methods, to deep learning, to cite just a few. The field of “computational imaging” has emerged in the last 10 years as a very powerful paradigm, where advanced algorithms and hardware worked in synchrony to provide revolutionary advances in imaging, and strongly impacted many fields, including optical microscopy, astronomy, X-ray ptychography, MRI, radar, biology and medicine, seismology, etc.   

The use of these modern computational methods has strongly improved imaging performance, be it in terms of resolution, signal, or speed. It has also sometimes simplified hardware tremendously by moving the burden of imaging to the algorithmic side. Finally, it has allowed imaging in scenarios that were considered impossible, for instance, imaging in complex media, around corner, or passive imaging. 

This special issue aims at providing a comprehensive panorama of the more modern developments in this very active field, comprising both original research articles and reviews by world-renowned experts in the field. 

    Guest Editors

    Sylvain Gigan, Sorbonne Université, Paris, France (Editorial Board Member of Intelligent Computing)

    Hilton Barbosa de Aguiar, CNRS, Paris, France

      Table of Contents

      As articles within the special issue are published they will appear below.

      How to Build the “Optical Inverse” of a Multimode Fibre

      Unė G. Būtaitė, Hlib Kupianskyi, Tomáš Čižmár, David B. Phillips

      Intelligent Computing, vol. 2022, Article ID 9816026, 13 pages, 2022

      Virtual Staining of Defocused Autofluorescence Images of Unlabeled Tissue Using Deep Neural Networks

      Yijie Zhang, Luzhe Huang, Tairan Liu, Keyi Cheng, Kevin de Haan, Yuzhu Li, Bijie Bai, Aydogan Ozcan

      Intelligent Computing, vol. 2022, Article ID 9818965, 13 pages, 2022

      Robust Phase Retrieval with Complexity-Guidance for Coherent X-Ray Imaging

      Mansi Butola, Sunaina Rajora, Kedar Khare

      Intelligent Computing, vol. 2022, Article ID 9819716, 12 pages, 2022

      Extrapolated Speckle-Correlation Imaging

      Yuto Endo, Jun Tanida, Makoto Naruse, Ryoichi Horisaki

      Intelligent Computing, vol. 2022, Article ID 9787098, 8 pages, 2022