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.
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Showing 1 to 20 of 294 for “"Super-resolution"”.
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Super resolution of fingerprints
… in the recent years.;In this work, we develop a super-resolution method with a specific goal to improve the resolution of biometric images. This method can be used as a preprocessing step in a variety of biometric applications including fingerprint enhancement with the purpose of detecting pores …
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Image super-resolution via sparse representation
… thesis presents a new approach to single-image super-resolution (SR), based on sparse signal recovery. Research on image statistics suggests that image patches can be well represented as a sparse linear combination of elements from an appropriately chosen over-complete dictionary. Inspired by …
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Super-resolution phased array sonar imaging
This dissertation applies super-resolution signal processing alogrithms to image reconstruction for a multibeam phased array sonar. A generic data model for phased array sonars is first developed and is used to derive conventional signal processing concepts for image reconstruction which are …
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Multiframe Super Resolution with JPEG2000 Compressed Images
… on combining the techniques of Image processing (Super Resolution) with Image compression. Historically, Joint Photographic Experts Group 2000 (JPEG2000) image compression and multiframe Super Resolution (SR) image processing techniques have evolved separately. In this research, we propose and …
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Learning image super resolution from joint examples
Image super-resolution (SR) aims to estimate of a high-resolution (HR) image from low-resolution (LR) input. Image priors are commonly learned to regularize the ill-posed SR problem, either using external LR-HR pairs or internal similar patterns repeating across di erent scales. We propose joint SR …
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Audio super-resolution with deep neural networks
This thesis reports various attempts at applying generative deep neural networks to audio for the task of recovering a high quality audio signal when given a low sample rate signal. Our experiments show that deep networks are able to discover patterns in speech and music signals by working in both …
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Super-resolution Microscopy: Novel Developments and Optimisations
… of a multifunctional localisation based super-resolution microscope at Cambridge Advanced Imaging Centre. The microscope is optimised to perform single and dual-colour imaging with high localisation precision and accuracy. Moreover, three-dimensional imaging capability is included in the …
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Super-Resolution Fluorescence Microscopy using Transparent Waveguide Chips
Super-resolution fluorescence microscopy (optical nanoscopy) allows us to surpass the optical diffraction limit and observe biological phenomena at the nanoscale using visible light. Different modalities come with their own trade-offs, such as imaging speed vs. achieved resolution or live cell …
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Single Image Super-Resolution via Deep Dense Network
Image Super-Resolution (SR) is a research field of computer vision, which enhances the resolution of an imaging system. The need for high resolution is common in computer vision applications for better performance in pattern recognition and analysis of images. However, recovering of the HR image …
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Super-resolution image reconstruction from low-resolution images
… thesis addresses the problem of obtaining high-resolution image from a set of one or more low-resolution images. The thesis focused on three building blocks of super-resolution algorithms i.e., image registration for super-resolution, image fusion for super-resolution and super-resolution image …
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Development of fast ultrasound super-resolution microvessel imaging
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-03-28 without embargo terms
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Deep learning for super-resolution ultrasound microvessel imaging
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2026-05-01
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Visualizing synaptic orientation using super-resolution localiazation microscopy
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-12-01
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Hardware, software, and applications of super-resolution microscopy
… spatial dimensions, and capture sub-cellular resolution videos, providing new biological insight and assisting in drug development. However, such advanced instruments typically require expert engineers and physicists to operate them, limiting their throughput and practicality for answering …
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Deep neural networks for medical image super-resolution
Super-resolution plays an essential role in medical imaging because it provides an alternative way to achieve high spatial resolutions with no extra acquisition cost. In the past decades, the rapid development of deep neural networks has ensured high reconstruction fidelity and photo-realistic …
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Exploiting the sparse derivative prior for super-resolution
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.
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Vision task driven image super-resolution and image enhancement
… pixel recovery and then learning framework. Low-resolution images also present challenges to a variety of object recognition problems in a variety of surveillance and navigation applications. Inspired by the recent advances of deep convolutional neural networks in general image SR tasks, we …
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Bayesian super-resolution with application to radar target recognition
… of features based on those images. However, the resolution of a new image acquired under non-ideal conditions may not be as good as that of the images used to generate the database. Therefore it is proposed to use super-resolution techniques to match the resolution of new images with the …
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A Joint Dictionary-Based Single-Image Super-Resolution Model
Image super-resolution technique mainly aims at restoring high-resolution image with satisfactory novel details. In recent years, leaning-based single-image super-resolution has been developed and proved to produce satisfactory results. With one or some dictionaries trained from a training set, …
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