Essays about: "Single Image Super-Resolution"
Showing result 1 - 5 of 11 essays containing the words Single Image Super-Resolution.
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1. ISAR Imaging Enhancement Without High-Resolution Ground Truth
University essay from Linköpings universitet/DatorseendeAbstract : In synthetic aperture radar (SAR) and inverse synthetic aperture radar (ISAR), an imaging radar emits electromagnetic waves of varying frequencies towards a target and the backscattered waves are collected. By either moving the radar antenna or rotating the target and combining the collected waves, a much longer synthetic aperture can be created. READ MORE
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2. Multiple-Emitter Super-resolution Imaging using the Alternating Descent Conditional Gradient Method
University essay from Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation; Lunds universitet/Institutionen för astronomi och teoretisk fysik - Genomgår omorganisationAbstract : This thesis examines the state-of-the-art 2D super-resolution technique alternating descent conditional gradient (ADCG) method's ability to accurately localize fluorophores in diffraction-limited single molecule images (SMI) and analyze the impact of pre-processing and post-processing modules on ADCG's fluorophore localization. A synthetic dataset obtained from the 2013 Grand Challenge localization microscopy and a temporally linked dataset obtained from an unpublished set of Optical DNA mapping experiments performed by Jonathan Jeffet at the NanoBioPhotonix Lab at Tel-Aviv University were initially segmented to extract their noise parameters. READ MORE
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3. Investigating the Spectral Bias in Neural Networks
University essay from KTH/Matematik (Avd.)Abstract : Neural networks have been shown to have astounding performance on a variety of different machine learning tasks and data sets, both for synthetic and real-world data.However, in spite of their widespread usage and implementation, the convergence and the training dynamics of neural networks are neither trivial, nor completely understood. READ MORE
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4. Ensembles of Single Image Super-Resolution Generative Adversarial Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Generative Adversarial Networks have been used to obtain state-of-the-art results for low-level computer vision tasks like single image super-resolution, however, they are notoriously difficult to train due to the instability related to the competing minimax framework. Additionally, traditional ensembling mechanisms cannot be effectively applied with these types of networks due to the resources they require at inference time and the complexity of their architectures. READ MORE
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5. Improving Knee Cartilage Segmentation using Deep Learning-based Super-Resolution Methods
University essay from KTH/Medicinteknik och hälsosystemAbstract : Segmentation of the knee cartilage is an important step for surgery planning and manufacturing patient-specific prostheses. What has been a promising technology in recent years is deep learning-based super-resolution methods that are composed of feed-forward models which have been successfully applied on natural and medical images. READ MORE
