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Dissertations / Theses on the topic 'Super-resolution'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Muad, Anuar Mikdad. "Super-resolution mapping." Thesis, University of Nottingham, 2011. http://eprints.nottingham.ac.uk/12309/.

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Super-resolution mapping is becoming an increasing important technique in remote sensing for land cover mapping at a sub-pixel scale from coarse spatial resolution imagery. The potential of this technique could increase the value of the low cost coarse spatial resolution imagery. Among many types of land cover patches that can be represented by the super-resolution mapping, the prediction of patches smaller than an image pixel is one of the most difficult. This is because of the lack of information on the existence and spatial extend of the small land cover patches. Another difficult problem i

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2

Van, der Walt Stefan Johann. "Super-resolution imaging." Thesis, Stellenbosch : University of Stellenbosch, 2010. http://hdl.handle.net/10019.1/5189.

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Thesis (PhD (Electronic Engineering))--University of Stellenbosch, 2010.<br>Contains bibliography and index.<br>ENGLISH ABSTRACT: Super-resolution imaging is the process whereby several low-resolution photographs of an object are combined to form a single high-resolution estimation. We investigate each component of this process: image acquisition, registration and reconstruction. A new feature detector, based on the discrete pulse transform, is developed. We show how to implement and store the transform efficiently, and how to match the features using a statistical comparison that improv

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3

Nasir, Haidawati Mohamad. "Super-resolution image reconstruction from low-resolution images." Thesis, University of Strathclyde, 2012. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=17814.

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The 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 reconstruction. These three parts are addressed separately and singular value decomposition-based fusion is introduced before performing interpolation or single-image super-resolution. An accurate image registration is crucial for super-resolution. An image registration approach for super-resolution

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4

Valadés, Cruz César Augusto. "Polarized super-resolution fluorescence microscopy." Doctoral thesis, Universitat Politècnica de Catalunya, 2014. http://hdl.handle.net/10803/277565.

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While super-resolution microscopy has brought a significant improvement in nano-scale imaging of molecular assemblies in biological media, its extension to imaging molecular orientation using fluorescence anisotropy has not yet been fully explored. Providing orientational order information at the nano-scale would be of considerable interest for the understanding of biological functions since they are intrinsically related to structural fundamental processes such as in protein clustering in cell membranes, supra-molecular polymerization or aggregation. In this thesis, we propose a super-resolut

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5

Capel, David Peter. "Super-resolution and image mosaicing." Thesis, University of Oxford, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.275567.

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6

Waterman, Naomi Ariane. "Super-resolution imaging with metamaterials." Thesis, University of Birmingham, 2018. http://etheses.bham.ac.uk//id/eprint/8151/.

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The key area of investigation of this research project was the application of metamaterials to super-resolution optical imaging. Specifically, an optical microscope was proposed to emulate a TIRF-SIM microscope, but using metamaterials to create a structured evanescent field. A metamaterial unit cell design of two ‘H’ shape nano-holes at ±45° to the normal in a gold film, with 50nm feature size was developed and simulated in CST Microwave Studio, able to produce structured evanescent illumination patterns. Although this original design proved unsuccessful, both in terms of fabrication and imag

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Sutherland, Alistair. "Studies in optical super-resolution." Thesis, University of Edinburgh, 1989. http://hdl.handle.net/1842/11440.

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8

Walsh, David Oliver 1966. "New methods for super-resolution." Thesis, The University of Arizona, 1993. http://hdl.handle.net/10150/291988.

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This thesis presents a new, non-iterative method for super-resolution which we call the direct method. By exploiting the inherent structure of the discrete signal processing environment, the direct method reduces the discrete super-resolution problem to solving a linear set of equations. The direct method is shown to be closely related to the Gerchberg algorithm for super-resolution. A mathematical justification for early termination of the Gerchberg algorithm is presented and the design of optimal termination schemes is discussed. Another new super-resolution method, which we call the SVD met

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9

Bak, Alexey Olegovich. "Super-resolution from quantum metamaterials." Thesis, Imperial College London, 2014. http://hdl.handle.net/10044/1/24999.

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Negative refraction and sub-wavelength resolution have been demonstrated with metamaterials throughout the past decade. This thesis introduces a quantum metamaterial, based on quantum mechanical principles, which exhibits negative refraction and sub-wavelength resolution with reduced absorption compared to non-quantum metamaterials. In particular, this thesis introduces a novel method of achieving sub-wavelength resolution using the quantum metamaterial. This method of superresolution does not require a negative permittivity or permeability, as the predecessors require, but is instead based on

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10

Dahlström, Erik. "Super-Resolution Using Dynamic Cameras." Thesis, Linköpings universitet, Datorseende, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-167333.

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In digital image correlation, an optical full-ﬁeld analysis method that can determine displacements of an object under load, high-resolution images are preferable. One way to improve the resolution is to improve the camera hardware. This can be expensive, hence another way to enhance the image is by various image processing techniques increase the resolution of the image. There are several ways of doing this and these techniques are called super-resolution. In this thesisthe theory behind several diﬀerent approaches to super-resolution is presented and discussed. The goal of this Thesis has be

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11

Valadés, Cruz César Augusto. "Polarized super-resolution fluorescence microscopy." Thesis, Aix-Marseille, 2014. http://www.theses.fr/2014AIXM4333.

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Alors que la microscopie super-résolue a apporté une amélioration considérable en imagerie des assemblages moléculaires dans les milieux biologiques à l'échelle nanométrique, son extension à l'imagerie de l'orientation moléculaire, utilisant l'anisotropie de fluorescence, n'a pas encore été complètement explorée. Apporter une information sur l'orientation moléculaire à l'échelle nanométrique aurait un intérêt considérable pour la compréhension des fonctions biologiques. Dans cette thèse, nous proposons une technique de microscopie super-résolution résolue en polarisation, capable d'imager les

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12

Smith, Cody S. "Compressive Point Cloud Super Resolution." DigitalCommons@USU, 2012. https://digitalcommons.usu.edu/etd/1392.

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Automatic target recognition (ATR) is the ability for a computer to discriminate between different objects in a scene. ATR is often performed on point cloud data from a sensor known as a Ladar. Increasing the resolution of this point cloud in order to get a more clear view of the object in a scene would be of significant interest in an ATR application. A technique to increase the resolution of a scene is known as super resolution. This technique requires many low resolution images that can be combined together. In recent years, however, it has become possible to perform super resolution on a s

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13

Wintz, Timothée. "Super-resolution in wave imaging." Thesis, Paris Sciences et Lettres (ComUE), 2017. http://www.theses.fr/2017PSLEE052/document.

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Les différentes modalités d’imagerie par ondes présentent chacune des limitations en termes de résolution ou de contraste. Dans ce travail, nous modélisons l’imagerie ultrasonore ultrarapide et présentons des méthodes de reconstruction qui améliorent la précision de l’imagerie ultrasonore. Nous introduisons deux méthodes qui permettent d’augmenter le contraste et de mesurer la position super-résolue et la vitesse dans les vaisseaux sanguins. Nous présentons aussi une méthode de reconstruction des paramètres microscopiques en tomographie d’impédance électrique en utilisant des mesures multifréq

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14

Arceci, Francesca. "Variational algorithms for image Super Resolution." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/19509/.

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La Super Resolution è una tecnica che permette di aumentare la risoluzione di un’immagine oltre i limiti imposti dai sensori. Nel processo di acquisizione e formazione dell’immagine, vi sono infatti fenomeni di noise e blurring che la corrompono: da qui l’esigenza di ricostruire l’input reale. Una volta modellizzato questo processo, vi sono svariate tecniche SR che approcciano in modi differenti al problema: in questo lavoro ci basiamo su teniche reconstruction-based che prevedono la minimizzazione di due funzionali, uno che misura la coerenza tra dato e soluzione, l’altro è un termine di reg

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15

Antelman, Joshua Neil. "Super resolution microscopy for biological applications." Diss., Restricted to subscribing institutions, 2010. http://proquest.umi.com/pqdweb?did=2026663231&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.

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16

Sert, Yilca Baris. "An Examination Of Super Resolution Methods." Master's thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/12607231/index.pdf.

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The resolution of the image is one of the main measures of image quality. Higher resolution is desired and often required in most of the applications, because higher resolution means more details in the image. The use of better image sensors and optics is an expensive and also limiting way of increasing pixel density within the image. The use of image processing methods, to obtain a high resolution image from low resolution images is a cheap and effective solution. This kind of image enhancement is called super resolution image reconstruction. This thesis focuses on the definition, implement

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Ye, Getian Information Technology &amp Electrical Engineering Australian Defence Force Academy UNSW. "Image registration and super-resolution mosaicing." Awarded by:University of New South Wales - Australian Defence Force Academy. School of Information Technology and Electrical Engineering, 2005. http://handle.unsw.edu.au/1959.4/38653.

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This thesis presents new approaches to image registration and super-resolution mosaicing as well as their applications. Firstly, a feature-based image registration method is proposed for a multisensor surveillance system that consists of an optical camera and an infrared camera. By integrating a non-rigid object tracking technique into this method, a novel approach to simultaneous object tracking and multisensor image registration is proposed. Based on the registration and fusion of multisensor information, automatic face detection is greatly improved. Secondly, some extensions of a gradient-

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18

Pelletier, Stéphane. "Acceleration methods for image super-resolution." Thesis, McGill University, 2010. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=86530.

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Image super-resolution (SR) attempts to recover a high-resolution (HR) image or video sequence from a set of degraded and aliased low-resolution (LR) ones. The computational complexity associated with many SR algorithms may hinder their use in time-critical applications. This motivates our interest in techniques for accelerating computations associated with edge-preserving image SR problems. Edge-preserving formulations are preferable to quadratic ones since they yield perceptually improved images with sharper edges. First, we propose a simple preconditioning method for accelerating the soluti

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19

Omrane, N. "Super-resolution for unregistered satellite images." Thesis, University of Surrey, 2004. http://epubs.surrey.ac.uk/2104/.

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20

Mandula, Ondrej. "Super-resolution methods for fluorescence microscopy." Thesis, University of Edinburgh, 2013. http://hdl.handle.net/1842/8909.

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Fluorescence microscopy is an important tool for biological research. However, the resolution of a standard fluorescence microscope is limited by diffraction, which makes it difficult to observe small details of a specimen’s structure. We have developed two fluorescence microscopy methods that achieve resolution beyond the classical diffraction limit. The first method represents an extension of localisation microscopy. We used nonnegative matrix factorisation (NMF) to model a noisy dataset of highly overlapping fluorophores with intermittent intensities. We can recover images of individual sou

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21

Mack, David. "Super-resolution imaging of plasmonic hotspots." Thesis, Imperial College London, 2016. http://hdl.handle.net/10044/1/44115.

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As the need to control and manipulate light on the nanoscale increases, intense expectations are being placed on the field of plasmonics to provide novel and consistent ways of controlling light, to achieve the desired optical properties and performance on these scales for both scientific and industrial applications. These properties include, high electromagnetic near-field enhancements, designer optical surfaces with control over scattering and absorption properties and nanoscale light waveguiding. One of the promising properties of plasmonics is their ability to generate electromagnetic (EM)

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22

Christensen-Jeffries, Kirsten Mia. "Super-resolution ultrasound imaging with microbubbles." Thesis, King's College London (University of London), 2017. https://kclpure.kcl.ac.uk/portal/en/theses/superresolution-ultrasound-imaging-with-microbubbles(fd0a1f07-a7d9-4393-bbfd-396cefff60a9).html.

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Ultrasound imaging is one of the most widely used clinical imaging methods offering safe, real-time imaging at low cost with excellent accessibility. However, the structure and flow of deep microvasculature, which can serve as a marker of pathological or dysfunctional tissue, cannot be adequately resolved using standard clinical ultrasound imaging frequencies due to diffraction. Conventional ultrasound imaging resolution is related to the wavelength employed, however, high frequency approaches used to improve resolutions are limited in penetration depth. Therefore, there is a crucial clinical

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23

Shekarforoush, Hassan. "Super-resolution en vision par ordinateur." Nice, 1996. http://www.theses.fr/1996NICE5007.

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Dans cette these, nous nous interessons au probleme de la super-resolution. Dans le premier chapitre, nous presentons une etude comparative des methodes proposees dans la litterature suivie d'une classification de ces methodes du point de vue du critere de rayleigh et de celui d'abbe sur la notion de resolution. Nous concluons le chapitre par une etude des differentes classes de methodes dans le cadre de la notion d'invariant optique. Dans le deuxieme chapitre le probleme de la super-resolution multi-canal est etudie dans le cadre de la theorie des sous-espaces hilbertiens. Cette etude est fon

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24

Eccles, Etienne Frederick. "Super-resolution phased array sonar imaging." Master's thesis, University of Cape Town, 2005. http://hdl.handle.net/11427/5277.

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Includes bibliographical references (p. 101-102).<br>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 necessary for the implementation of the super-resolution algorithms. The most well studied super-resolution algorithms in the literature are reviewed and evaluated for their application to sonar imaging with a focus on rubustness to additive noise and mo

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25

Yang, Bin. "New approaches in super-resolution microscopy." Thesis, Bordeaux, 2015. http://www.theses.fr/2015BORD0075/document.

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La première méthode vise à améliorer la vitesse d’imagerie de la microscopie super-résolue àtempérature ambiante pour des applications biologiques. En tant qu’une technique de scan, lamicroscopie STED a besoins d’être parallélisé pour faire de l’imagerie rapide en champ large. Nousavons obtenu une parallélisation massive de la microscopie STED en utilisant les réseaux d’optiqueavec une excitation en en champ large et une caméra rapide pour détection. Les images super-résoluesd’un champ de 3 μm par 3 μm sont acquises en scannant une maille élémentaire du réseau optique, quipeut être aussi petit

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Arachchige, Somi Ruwan Budhagoda. "Face recognition in low resolution video sequences using super resolution /." Online version of thesis, 2008. http://hdl.handle.net/1850/7770.

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27

Richter, Thomas [Verfasser]. "Super-Resolution Techniques for Mixed-Resolution Multi-View Images / Thomas Richter." München : Verlag Dr. Hut, 2017. http://d-nb.info/1126297526/34.

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28

Johnson, Sam. "Video super-resolution from scene-specific images /." Leeds : University of Leeds, School of Computer Studies, 2008. http://www.comp.leeds.ac.uk/fyproj/reports/0708/Johnson.pdf.

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29

Plamann, Tobias. "Dynamical scattering in super-resolution electron microscopy." Thesis, University of Cambridge, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.396094.

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Woods, Matthew. "Image Super-Resolution Enhancements for Airborne Sensors." Thesis, Northwestern University, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10193209.

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<p> This thesis discusses the application of advanced digital signal and image processing techniques, particularly the technique known as super-resolution (SR), to enhance the imagery produced by cameras mounted on an airborne platform such as an unmanned aircraft system (UAS). SR is an image processing technology applicable to any digital, pixilated camera that is physically limited by construction to sample a scene with a discrete, <i><b>m x n</b></i> pixel array. The straightforward objective of SR is to utilize mathematics and signal processing to overcome this physical limitation of the <

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Narayanan, Barath Narayanan. "Multiframe Super Resolution with JPEG2000 Compressed Images." University of Dayton / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1365597593.

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32

Lee, Seoungjun. "Super-resolution optical imaging using microsphere nanoscopy." Thesis, University of Manchester, 2013. https://www.research.manchester.ac.uk/portal/en/theses/superresolution-optical-imaging-using-microsphere-nanoscopy(c3b36c86-11b5-4c77-9a69-b966585b0509).html.

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Standard optical microscopes cannot resolve images below 200 nm within the visible wavelengths due to optical diffraction limit. This Thesis reports an investigation into super-resolution imaging beyond the optical diffraction limit by microsphere optical nano-scopy (MONS) and submerged microsphere optical nano-scopy (SMON). The effect of microsphere size, material and the liquid type as well as light illumination conditions and focal plane positions on imaging resolution and magnification have been studied for imaging both biological (viruses and cells) and non-biological (Blu-ray disk patter

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Avendaño, Amado Maier S. "Super Resolution Imaging by Programmable Autonomous Blinking." Thesis, Harvard University, 2015. http://nrs.harvard.edu/urn-3:HUL.InstRepos:17467356.

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Current far-field super-resolution techniques offer unprecedented spatial resolution, however, the identification and quantification of multiple molecules that cannot be spatially resolved remains challenging, mainly hampered by the lack of a comprehensive kinetic model for stochastic dye blinking, undercounting due to imperfect dye labeling of molecules, photobleaching, and limited multiplexing capabilities. Here I have developed and validated a quantitative multiplexing super-resolution approach, based on programmable autonomous blinking of a nucleic acid probe. I use the transient binding

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DeKruger, David Henry. "Super-resolution processing of millimeter wave imagery." Diss., The University of Arizona, 1993. http://hdl.handle.net/10150/186473.

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The primary focus of the work being done in the area of super-resolution of imagery has been done using images taken in the optical portion of the electro-magnetic spectrum. The material presented here describes the development of a super-resolution algorithm for images in the millimeter wave portion of the spectrum. Due to the difference in the statistical properties of the photons in the optical and millimeter wave portions of the spectrum, different mathematical models are needed to describe the object and image in the two wavelength regions. Poisson statistics are commonly used to describe

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35

Goda, Matthew. "Wavelet domain image restoration and super-resolution." Diss., The University of Arizona, 2002. http://hdl.handle.net/10150/289808.

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Multi-resolution techniques, and especially the wavelet transform provide unique benefits in image representation and processing not otherwise possible. While wavelet applications in image compression and denoising have become extremely prevalent, their use in image restoration and super-resolution has not been exploited to the same degree. One issue is the extension 1-D wavelet transforms into 2-D via separable transforms versus the non-separability of typical circular aperture imaging systems. This mismatch leads to performance degradations. Image restoration, the inverse problem to image fo

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36

Pascucci, Marco. "Super-resolution microscopy by saturated speckle illumination." Thesis, Sorbonne Paris Cité, 2017. http://www.theses.fr/2017USPCB100.

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Ma, Qing. "High-Resolution X-Ray Image Generation from CT Data Using Super-Resolution." Thesis, Université d'Ottawa / University of Ottawa, 2021. http://hdl.handle.net/10393/42782.

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Synthetic X-ray or digitally reconstructed radiographs (DRRs) are simulated X-ray images projected from computed tomography (CT) data that are commonly used for CT and real X-Ray image registration. High-quality synthetic X-ray images can facilitate various applications such as guiding images for virtual reality (VR) simulation and training data for deep learning methods such as creating CT data from X-Ray images. It is challenging to generate high-quality synthetic X-ray images from CT slices, especially in various view angles, due to gaps between CT slices, high computational cost, and the

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Roeder, James Roger. "Assessment of super-resolution for face recognition from very-low resolution images." To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2009. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.

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Kumar, Sanjeev. "Priors and learning based methods for super-resolution." Diss., [La Jolla] : University of California, San Diego, 2010. http://wwwlib.umi.com/cr/ucsd/fullcit?p3397852.

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Thesis (Ph. D.)--University of California, San Diego, 2010.<br>Title from first page of PDF file (viewed April 14, 2010). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 96-102).

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Polini, Elena. "Super Resolution di immagini con reti neurali convoluzionali." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/18502/.

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L'argomento principale di questa tesi è il problema di super risoluzione applicato all'ambito dell'imaging. Lo scopo è quello di fornire una panoramica generale sul problema e sugli approcci possibili, e di presentare dei modelli di soluzione basati sull'uso di reti neurali arti�ficiali.

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Santoro, Michael. "Valid motion estimation for super-resolution image reconstruction." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/44765.

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In this thesis, a block-based motion estimation algorithm suitable for Super-Resolution (SR) image reconstruction is introduced. The motion estimation problem is formulated as an energy minimization problem that consists of both a data and regularization term. To handle cases when motion estimation fails, a block-based validity method is introduced, and is shown to outperform all other validity methods in the literature in terms of hybrid de-interlacing. By combining the validity metric into the energy minimization framework, it is shown that 1) the motion vector error is made less sensitive t

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Armes, Helen Elizabeth Harcourt. "Implementing super-resolution palm microscopy in fission yeast." Thesis, University of Sussex, 2017. http://sro.sussex.ac.uk/id/eprint/67027/.

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Fluorescence microscopy is a popular biological technique because it allows the study of cells in great detail. However, the resolution achievable is limited by the diffraction properties of light, meaning that fine detail cannot be resolved. Various super-resolution microscopy methods have been developed to break this resolution limit. This thesis focuses on the single molecule localisation microscopy techniques. My host laboratory focuses on DNA replication and repair pathways using the model organism Schizosaccharomyces pombe (fission yeast). The aim of this thesis is thus to apply the tech

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Zhou, Zhaokun. "Magneto-optical tweezers with super-resolution fluorescence microscopy." Thesis, University of York, 2017. http://etheses.whiterose.ac.uk/18771/.

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This thesis describes the design, construction and application of a novel magneto-optical tweezers with super-resolution fluorescence microscopy for manipulation, force/torque measurement and imaging of single biomolecules. The optical tweezers component offers force or position clamping in three dimensions. The 3D-printed magnetic tweezers is designated for rotation in the vertical plane. The separation of rotation from force transduction results in the capability of precise torque measurement. The filamentous biomolecules to be used in the device will lie in a transverse direction in the ima

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Casas, Moreno Xavier. "Noise modelling for high-throughput super-resolution microscopy." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-246912.

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Super-resolution fluorescence microscopy is an emerging imaging fieldthat aims at breaking the di↵raction barrier of light based on state transitionin fluorescent molecules. Current challenges in the existing approachare to achieve large field of views, fast recordings and increasing the imagequality.The Advanced Bio-Imaging group at the Science for Life Laboratory inStockholm invented the Molecular Nanoscale Live Imaging with SectioningAbility (MoNaLISA), a microscope that reaches high spatial resolution(45-65 nm) with low light intensities (kWcm<br>Super-upplösta fluorescensmikroskop är ett

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Russell, Bryan Christopher 1979. "Exploiting the sparse derivative prior for super-resolution." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/87902.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.<br>Includes bibliographical references (p. 69-73).<br>by Bryan Christopher Russell.<br>S.M.

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Pickup, Lyndsey C. "Machine learning in multi-frame image super-resolution." Thesis, University of Oxford, 2007. http://ora.ox.ac.uk/objects/uuid:88c6968f-1e62-4d89-bd70-604bf1f41007.

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Multi-frame image super-resolution is a procedure which takes several noisy low-resolution images of the same scene, acquired under different conditions, and processes them together to synthesize one or more high-quality super-resolution images, with higher spatial frequency, and less noise and image blur than any of the original images. The inputs can take the form of medical images, surveillance footage, digital video, satellite terrain imagery, or images from many other sources. This thesis focuses on Bayesian methods for multi-frame super-resolution, which use a prior distribution over the

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Zhou, Yang. "Video Super-Resolution via Dynamic Local Filter Network." Thesis, Université d'Ottawa / University of Ottawa, 2018. http://hdl.handle.net/10393/37939.

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Video super-resolution (VSR) aims to give a satisfying estimation of a high-resolution (HR) image from multiple similar low-resolution (LR) images by exploiting their hidden redundancy. The rapid development of convolutional neural network (CNN) techniques provide numerous new possibilities to solve the VSR problem. Recent VSR methods combine CNN with motion compensation to cancel the inconsistencies among the LR images and merge them to an HR images. To compensate the motion, pixels in input frames are warped according to optical-flow-like information. In this procedure, trade-off has to be m

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Chen, Jia-Hao, and 陳家豪. "Intelligence-Based Super-Resolution." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/12777918766333869361.

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碩士<br>國立交通大學<br>電機與控制工程系<br>91<br>An intelligence-based super-resolution is proposed here. This method is used to solve the problem that pixel-based computer graphics lack resolution independence: they cannot be zoomed much without a degradation of quality. The general interpolating methods for enlarging images usually result in a blurring of edges and image details. Therefore, we develop a training-based interpolation algorithm to create the plausible high-frequency details for compensating the zoomed images. The algorithm is based on the example-based super-resolution [2], with assumptions t

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"Efficient Perceptual Super-Resolution." Doctoral diss., 2011. http://hdl.handle.net/2286/R.I.14463.

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abstract: Super-Resolution (SR) techniques are widely developed to increase image resolution by fusing several Low-Resolution (LR) images of the same scene to overcome sensor hardware limitations and reduce media impairments in a cost-effective manner. When choosing a solution for the SR problem, there is always a trade-off between computational efficiency and High-Resolution (HR) image quality. Existing SR approaches suffer from extremely high computational requirements due to the high number of unknowns to be estimated in the solution of the SR inverse problem. This thesis proposes efficient

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Καραβελάκη, Ευθυμία. "Improvement of PET resolution with super resolution techniques." Thesis, 2008. http://nemertes.lis.upatras.gr/jspui/handle/10889/932.

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Medical imaging is the main tool to extract a 3D modelling of the human body or specific organs within it. In order to accomplish this, various imaging modalities have been developed over the years, such as X-Ray Computed Tomography (CT), Magnetic Resonance Imaging (MRI) and Positron Emission Tomography (PET). Each one is based on a particular energy source that passes through the body and on specific physical laws, which define the meaning of noise and the sensitivity of the imaging process. In all medical imaging systems the main goal is to increase resolution since higher resolution is a ke

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