Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 51 for “"Computational Imaging"”.
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Computational imaging in biology
… dissertation presents an exploration of advanced computational imaging techniques aimed at enhancing biological imaging performance. Biological specimens often present challenges due to their sub diffraction limited complex structures and the scattering of light, which can obscure critical …
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Metamaterials for Computational Imaging
… material systems and so yield fundamentally new computational imaging systems. A computational imaging system relies heavily on the design of measurement modes. Metamaterials provide a great deal of control over the generation of the measurement modes of an aperture. On the other side of the …
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Computational imaging through deep learning
Computational imaging (CI) is a class of imaging systems that uses inverse algorithms to recover an unknown object from the physical measurement. Traditional inverse algorithms in CI obtain an estimate of the object by minimizing the Tikhonov functional, which requires explicit formulations of the …
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Tradeoffs and Limits in Computational Imaging
… begun to focus their attention on new types of imaging systems that utilize computations as an integral part of the imaging process. Computational cameras optically encode information that is later decoded using signal processing. In this thesis, I show three new computational imaging designs …
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Computational imaging and analysis in breast cancer
… and reliable prediction of tumor behavior. Computational imaging utilizes software to augment or replace the role of traditional optical elements in imaging systems and has an ability to significantly increase the accuracy, robustness and cost-efficiency of digital pathology. In this thesis, …
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Data-Efficient Machine Learning for Computational Imaging
… a method that improves data efficiency in computational imaging by incorporating prior knowledge from physical models into machine learning algorithms. Our approach optimizes image reconstruction from sparse and noisy datasets by utilizing physical constraints to guide deep learning models. …
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Computational imaging with small numbers of photons
The ability of an active imaging system to accurately reconstruct scene properties in low light-level conditions has wide-ranging applications, spanning biological imaging of delicate samples to long-range remote sensing. Conventionally, even with timeresolved detectors that are sensitive to …
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Computational imaging and automated identification for aqueous environments
… demonstrated. A prototype digital holographic imaging device is designed and tested for quantitative in situ microscale imaging. Theory to support the device is developed, including particle noise and the effects of motion. A Wigner-domain model provides optimal settings and optical limits for …
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Computational imaging and automated identification for aqueous environments
… demonstrated. A prototype digital holographic imaging device is designed and tested for quantitative in situ microscale imaging. Theory to support the device is developed, including particle noise and the effects of motion. A Wigner-domain model provides optimal settings and optical limits for …
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Computational imaging with scattered photons to see inside the body
Conventional imaging for health applications captures photons from the objects that are directly in the field of view of the camera. In this thesis, we develop computational frameworks to exploit scattered photons to image regions that are not directly visible to the camera. First, we will explore …
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Scalar Scattering Theory and Physics-inspired Optimization for Computational Imaging
This thesis explores the realm of computational imaging, focusing on the critical problems of phase retrieval and optical scattering—essential for accurately extracting physical information from photons. It aims to enhance the understanding and computational efficiency of existing models by …
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Physics and Algorithms in Time of Flight Based Computational Imaging
Imaging systems work on an interplay of physics, electronics, and algorithms. Designing imaging systems by exploiting all these layers of abstraction can give rise to novel applications and interesting solutions to existing problems. In this thesis, I will explore this design philosophy in 2 …
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Multi-dimensional computational imaging from diffraction intensity using deep neural networks
… aberrations are retrieved for high-contrast imaging of exoplanets using a deep residual neural network, and transparent planar objects behind dynamic scattering media are revealed by a recurrent neural network, both in an end-to-end training fashion. Next, a multi-layered, three-dimensional …
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Photon-efficient computational imaging with single-photon avalanche diode (SPAD) arrays
… sensitive photodetectors that enable LIDAR imaging at extremely low photon flux levels. While conventional image formation methods require hundreds or thousands of photon detections per pixel to suppress noise, a recent computational approach achieves comparable results when forming …
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Computational imaging and inverse techniques for high-resolution and instantaneous spectral imaging
… thesis, we develop a class of novel spectral imaging techniques that enable capabilities beyond the reach of conventional methods. Each development is based on computational imaging, which involves distributing the spectral imaging task between a physical and a computational system and then …
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Computational imaging and multiomic biomarkers for precision medicine: characterizing heterogeneity in lung cancer.
… properties of the entire tumor. Medical imaging is now emerging as a key player in the field of personalized medicine, due to its ability to non-invasively characterize the anatomical and physiological properties of the tumor regions. The studies included in this thesis introduce …
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Computational imaging of dynamic nuclear processes in living somatic and germ line cells
Lichtmikroskopische Techniken können benutzt werden, um den Einfluss der räumlichen und zeitlichen Organisation von Chromatin und assoziierten nukleären Faktoren zu untersuchen. In der vorliegenden Arbeit möchte ich mit zwei biologischen Ansätzen die Bedeutung der quantitativen Extraktion von raum- …
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Energy-efficient circuits and systems for computational imaging and vision on mobile devices
… This calculation involves a number of computational imaging algorithms such as high dynamic range (HDR) imaging, panorama stitching, image deblurring and low-light imaging that compensate for camera limitations, and a number of deep learning based vision algorithms such as face …
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Sub-pixel Registration In Computational Imaging And Applications To Enhancement Of Maxillofacial Ct Data
In computational imaging, data acquired by sampling the same scene or object at different times or from different orientations result in images in different coordinate systems. Registration is a crucial step in order to be able to compare, integrate and fuse the data obtained from different …
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Computational optical coherence tomography for polarization-sensitive imaging, aberration correction, and wavefront measurement
… multiple longstanding challenges in optical imaging are solved by the development of new computational imaging methods, where computational imaging does not simply refer to simulation or modeling, but to the entirety of an imaging technology in which significant computation is required to …
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