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Computational imaging without a computer: seeing through random diffusers at the speed of light [PDF]
eLight, 2021 Imaging through diffusers presents a challenging problem with various digital image reconstruction solutions demonstrated to date using computers. Here, we present a computer-free, all-optical image reconstruction method to see through random diffusers ...
Yilin Luo +6 more
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Scientific Reports, 2021 Dendrochronology is an essential tool to determine the date and provenance of wood from historical art objects. As standard methods to access the tree rings are invasive, X-ray computed tomography (CT) has been proposed for non-invasive ...
Francien G. Bossema +7 more
doaj +1 more source
Annular Computational Imaging: Capture Clear Panoramic Images Through Simple Lens [PDF]
IEEE Transactions on Computational Imaging, 2022 Panoramic Annular Lens (PAL) composed of few lenses has great potential in panoramic surrounding sensing tasks for mobile and wearable devices because of its tiny size and large Field of View (FoV).
Qi Jiang +5 more
semanticscholar +1 more source
Deep Coded Aperture Design: An End-to-End Approach for Computational Imaging Tasks [PDF]
IEEE Transactions on Computational Imaging, 2021 Covering from photography to depth and spectral estimation, diverse computational imaging (CI) applications benefit from the versatile modulation of coded apertures (CAs).
Jorge Bacca +2 more
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dO: A Differentiable Engine for Deep Lens Design of Computational Imaging Systems
IEEE Transactions on Computational Imaging, 2022 Computational imaging systems algorithmically post-process acquisition images either to reveal physical quantities of interest or to increase image quality, e.g., deblurring.
Congli Wang, Ni Chen, W. Heidrich
semanticscholar +1 more source
Automated image computing reshapes computational neuroscience [PDF]
BMC Bioinformatics, 2013 We briefly identify several critical issues in current computational neuroscience, and present our opinions on potential solutions based on bioimage informatics, especially automated image computing.
Peng, Hanchuan +2 more
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Computational Imaging and Artificial Intelligence: The Next Revolution of Mobile Vision [PDF]
Proceedings of the IEEE, 2021 Signal capture is at the forefront of perceiving and understanding the environment; thus, imaging plays a pivotal role in mobile vision. Recent unprecedented progress in artificial intelligence (AI) has shown great potential in the development of ...
J. Suo +5 more
semanticscholar +1 more source
The Foundations of Computational Imaging: A signal processing perspective
IEEE Signal Processing Magazine, 2023 Twenty-five years ago, the field of computational imaging arguably did not exist, at least not as a standalone arena of research activity and technical development.
W. C. Karl +5 more
semanticscholar +1 more source
Underwater computational imaging: a survey
Intelligent Marine Technology and Systems, 2023 With the increasingly urgent demand for marine research and development, optical imaging technology remains crucial for underwater close-range information detection.
Zhaorui Gu +6 more
semanticscholar +1 more source
Deep learning in optical metrology: a review
Light: Science & Applications, 2022 With the advances in scientific foundations and technological implementations, optical metrology has become versatile problem-solving backbones in manufacturing, fundamental research, and engineering applications, such as quality control, nondestructive ...
Chao Zuo +8 more
doaj +1 more source