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Relevant bibliographies by topics / Methods of image processing / Dissertations / Theses

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Dissertations / Theses on the topic 'Methods of image processing'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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1

Alexander, Simon. "Multiscale Methods in Image Modelling and Image Processing." Thesis, University of Waterloo, 2005. http://hdl.handle.net/10012/1179.

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The field of modelling and processing of 'images' has fairly recently become important, even crucial, to areas of science, medicine, and engineering. The inevitable explosion of imaging modalities and approaches stemming from this fact has become a rich source of mathematical applications. <br /><br /> 'Imaging' is quite broad, and suffers somewhat from this broadness. The general question of 'what is an image?' or perhaps 'what is a natural image?' turns out to be difficult to address. To make real headway one may need to strongly constrain the class of images being conside

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2

Kokkinou, Eleni. "Image processing methods in digital autoradiography." Thesis, University of Surrey, 2002. http://epubs.surrey.ac.uk/844272/.

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Autoradiography is a common method in biomedical research for detecting and measuring biodistributions of labelled biomolecules within a specimen. The conventional method is based on using film or film-emulsions for the image acquisition. Although film autoradiography is still in widespread use, there are several disadvantages such as long exposure times, lack of sensitivity, non-linear response of the film and limited dynamic range that encouraged the development of digital autoradiographic systems. Most of the current digital imaging systems have demonstrated excellent performance as far as

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3

Chang, William. "Representation Theoretical Methods in Image Processing." Scholarship @ Claremont, 2004. https://scholarship.claremont.edu/hmc_theses/160.

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Image processing refers to the various operations performed on pictures that are digitally stored as an aggregate of pixels. One can enhance or degrade the quality of an image, artistically transform the image, or even find or recognize objects within the image. This paper is concerned with image processing, but in a very mathematical perspective, involving representation theory. The approach traces back to Cooley and Tukey’s seminal paper on the Fast Fourier Transform (FFT) algorithm (1965). Recently, there has been a resurgence in investigating algebraic generalizations of this original algo

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4

Rao, Tandhoni. "Noncausal methods and models for image." Diss., Georgia Institute of Technology, 1992. http://hdl.handle.net/1853/13344.

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5

Hellier, Pierre. "Image processing methods for 3D intraoperative ultrasound." Habilitation à diriger des recherches, Université Rennes 1, 2010. http://tel.archives-ouvertes.fr/tel-00536133.

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Ce document constitue une synth`ese de travaux de recherche en vue de l'obten- tion du diplˆome d'habilitation `a diriger les recherches. A la suite ce cette in- troduction r ́edig ́ee en franc ̧ais, le reste de ce document sera en anglais. Je suis actuellement charg ́e de recherches INRIA au centre de Rennes Bretagne Atlantique. J'ai rejoint en Septembre 2001 l' ́equipe Vista dirig ́ee par Patrick Bouthemy, puis l' ́equipe Visages dirig ́ee par Christian Barillot en Janvier 2004. Depuis Janvier 2010, je travaille dans l' ́equipe-projet Serpico dirig ́ee par Charles Kervrann dont l'objet est l

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6

Zhang, Huaizhong. "Developing Bayesian methods for biomedical image processing." Thesis, University of Ulster, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.553883.

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The broad objective of this thesis is the development of application-specific, computation ally efficient image processing approaches in the light of Bayesian theory when applied to Biomedical Imagery. Due to its rigorous theoretical background and precise formula expression, the Bayesian method has been successfully applied in image processing over the years. Based on the investigation of relationships between various optimization criteria within the Bayesian framework, the main contributions of this thesis lie in the development of four different, but interrelated, image processing approache

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7

Nam, David Clarence. "Novel image processing methods for cellular micrographs." Thesis, University of Bristol, 2014. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.681506.

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Interdisciplinary research plays an ever-increasing role in advancing the state-of-the art in bioimage analysis. Advances in biomedical imaging will give biologists the tools to analyse large numbers of electron and light microscopy images, quickly and accurately. Currently, many biologists analyse images manually. This is not reproducible and susceptible to subjective bias. Image segmentation and registration are two fundamental techniques, which are frequently applied to microscopy images. Cellular images contain many complex structures, and to be able to get accurate information from these

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8

Liu, Pan. "Variational and PDE Methods for Image Processing." Research Showcase @ CMU, 2017. http://repository.cmu.edu/dissertations/945.

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9

Sallee, Philip Andrew. "Statistical methods for image and signal processing /." For electronic version search Digital dissertations database. Restricted to UC campuses. Access is free to UC campus dissertations, 2004. http://uclibs.org/PID/11984.

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10

Gray, Michael Stewart. "Unsupervised statistical methods for processing of image sequences /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 1998. http://wwwlib.umi.com/cr/ucsd/fullcit?p9901442.

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11

Huang, Yumei. "Numerical methods for image restoration." HKBU Institutional Repository, 2008. http://repository.hkbu.edu.hk/etd_ra/908.

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12

Chuang, Yung-Yu. "New models and methods for matting and compositing /." Thesis, Connect to this title online; UW restricted, 2004. http://hdl.handle.net/1773/6849.

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13

Badri, Hicham. "Sparse and Scale-Invariant Methods in Image Processing." Thesis, Bordeaux, 2015. http://www.theses.fr/2015BORD0139/document.

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Dans cette thèse, on présente de nouvelles approches à base de parcimonie et d'invariance d' échelle pour le développement de techniques rapides et efficaces en traitement d'images. Au lieu d'utiliser la norme l1 pour imposer la parcimonie, on exploite plutôt des pénalités non-convexes qui encouragent plus la parcimonie. On propose une approche de premier ordre pour estimer une solution d'un opérateur proximal non-convexe, ce qui permet d'exploiter facilement la non-convexité. On étudie aussi le problème de pluri-parcimonie quand le problème d'optimisation est composé de plusieurs termes parci

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14

Silwal, Sharad Deep. "Bayesian inference and wavelet methods in image processing." Manhattan, Kan. : Kansas State University, 2009. http://hdl.handle.net/2097/2355.

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15

Wang, Fan. "Alternating direction methods for image recovery." HKBU Institutional Repository, 2012. https://repository.hkbu.edu.hk/etd_ra/1406.

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16

Qiao, Motong. "Optimization based methods for image segmentation and image tone mapping." HKBU Institutional Repository, 2014. https://repository.hkbu.edu.hk/etd_oa/25.

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Optimization methods have been widely utilized in the ﬁeld of imaging science, such as image denoising, image segmentation, image contrast adjustment, high dynamic rang imaging, etc. In recent decades, it is becoming more and more popular to re- formulate an image processing problem into an energy minimization problem, then solve for the minimizer by some optimization based methods. In this thesis, we concern solving three popular issues in image processing and computational photography by optimization based methods, which are image segmentation, bit-depth expansion, and high dynamic range ima

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17

Williams, Brent A. "Signal Processing Methods for Ultra-High Resolution Scatterometry." Diss., CLICK HERE for online access, 2010. http://contentdm.lib.byu.edu/ETD/image/etd3529.pdf.

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18

Slabaugh, Gregory G. "Novel volumetric scene reconstruction methods for new view synthesis." Diss., Georgia Institute of Technology, 2002. http://hdl.handle.net/1853/13427.

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19

Grahn, Alexander. "An Image and Processing Comparison Study of Antialiasing Methods." Thesis, Blekinge Tekniska Högskola, Institutionen för kreativa teknologier, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-13025.

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Context. Aliasing is a long standing problem in computer graphics. It occurs as the graphics card is unable to sample with an infinite accuracy to render the scene which causes the application to lose colour information for the pixels. This gives the objects and the textures unwanted jagged edges. Post-processing antialiasing methods is one way to reduce or remove these issues for real-time applications. Objectives. This study will compare two popular post-processing antialiasing methods that are used in modern games today, i.e., Fast approximate antialiasing (FXAA) and Submorphological antial

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20

Sum, Kwok-wing Anthony. "Partial differential equation based methods in medical image processing." Click to view the E-thesis via HKUTO, 2007. http://sunzi.lib.hku.hk/hkuto/record/B38958624.

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21

Sum, Kwok-wing Anthony, and 岑國榮. "Partial differential equation based methods in medical image processing." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B38958624.

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22

Persch, Johannes [Verfasser]. "Optimization Methods for Manifold-Valued Image Processing / Johannes Persch." München : Verlag Dr. Hut, 2018. http://d-nb.info/1162767049/34.

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23

Davila, Garcia Maria Luisa. "Image processing methods for automatic in-vitro morphology analysis." Thesis, University of Sheffield, 2018. http://etheses.whiterose.ac.uk/22501/.

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The study of male infertility has become a priority for biologists and researchers in the last decades as a consequence of the declining birth rates. This problem has also become a major public health with economic and psychosocial consequences. Analysis of human sperm cells, for instance, is widely used in investigations related to male infertility and assisted conception. Sperm samples are usually analysed by health professionals using microscope devices following a manual process to count and describe their morphology. Nevertheless, this practice is prone to errors and time consuming. This

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24

Li, Yanhua. "Efficient recursive factorization methods for determining structure from motion." Title page, abstract and contents only, 2000. http://web4.library.adelaide.edu.au/theses/09PH/09phl6929.pdf.

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25

Randolph, Tami Rochele. "Image compression and classification using nonlinear filter banks." Diss., Georgia Institute of Technology, 2001. http://hdl.handle.net/1853/13439.

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26

Liao, Haiyong. "Computational methods for bioinformatics and image restoration." HKBU Institutional Repository, 2010. http://repository.hkbu.edu.hk/etd_ra/1103.

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27

Feng, Chunlin, and 馮淳林. "Robust estimation methods for image matching." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B29752693.

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28

Abdul-Razzak, M. M. "Picture processing and display methods for microwave thermography." Thesis, University of Leeds, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.354033.

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29

Jiang, Yuchong. "Automatic assessment of skeletal maturity by digital image processing methods." Thesis, University of Liverpool, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.333501.

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30

Crandall, Robert. "Nonlocal and Randomized Methods in Sparse Signal and Image Processing." Thesis, The University of Arizona, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10840330.

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<p> This thesis focuses on the topics of sparse and non-local signal and image processing. In particular, I present novel algorithms that exploit a combination of sparse and non-local data models to perform tasks such as compressed-sensing reconstruction, image compression, and image denoising. The contributions in this thesis are: (1) a fast, approximate minimum mean-squared error (MMSE) estimation algorithm for sparse signal reconstruction, called Randomized Iterative Hard Thresholding (RIHT). This algorithm has applications in compressed sensing, image denoising, and other sparse inverse pr

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31

Ha, Jin-cheol. "Real-time visual tracking using image processing and filtering methods." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/28177.

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Thesis (M. S.)--Aerospace Engineering, Georgia Institute of Technology, 2008.<br>Committee Chair: Eric N. Johnson; Committee Co-Chair: Allen R. Tannenbaum; Committee Member: Anthony J. Calise; Committee Member: Eric Feron; Committee Member: Patricio A. Vela.

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32

Grimes, W. S. N. "Image processing and analysis methods in quantitative endothelial cell biology." Thesis, University College London (University of London), 2016. http://discovery.ucl.ac.uk/1529859/.

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This thesis details the development of computerised image processing and analysis pipelines for quantitative evaluation of microscope image data acquired in endothelial vascular biology experimentation. The overarching objective of this work was to advance our understanding of the cell biology of cardiovascular processes; principally involving haemostasis, thrombosis, and inflammation. Bioinformatics techniques are increasingly necessary to extract and evaluate information from biological experimentation. In cell biology advances in microscopy and the increased acquisition of large scale digit

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33

Marnissi, Yosra. "Bayesian methods for inverse problems in signal and image processing." Thesis, Paris Est, 2017. http://www.theses.fr/2017PESC1142/document.

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Les approches bayésiennes sont largement utilisées dans le domaine du traitement du signal. Elles utilisent des informations a priori sur les paramètres inconnus à estimer ainsi que des informations sur les observations, pour construire des estimateurs. L'estimateur optimal au sens du coût quadratique est l'un des estimateurs les plus couramment employés. Toutefois, comme la loi a posteriori exacte a très souvent une forme complexe, il faut généralement recourir à des outils d'approximation bayésiens pour l'approcher. Dans ce travail, nous nous intéressons particulièrement à deux types de méth

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34

Le, Van Linh. "Automatic landmarking for 2D biological images : image processing with and without deep learning methods." Thesis, Bordeaux, 2019. http://www.theses.fr/2019BORD0238.

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Les points de repère sont présentés dans les applications de différents domaines tels que le biomédical ou le biologique. C’est également l’un des types de données qui ont été utilisés dans différentes analyses, par exemple, ils ne sont pas seulement utilisés pour mesurer la forme de l’objet, mais également pour déterminer la similarité entre deux objets. En biologie, les repères sont utilisés pour analyser les variations inter-organismes. Cependant, l’offre de repères est très lourde et le plus souvent, ils sont fournis manuellement. Ces dernières années, plusieurs méthodes ont été proposées

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35

Sina, Md Ibne. "Satellite Image Processing with Biologically-inspired Computational Methods and Visual Attention." Thèse, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/23122.

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The human vision system is generally recognized as being superior to all known artificial vision systems. Visual attention, among many processes that are related to human vision, is responsible for identifying relevant regions in a scene for further processing. In most cases, analyzing an entire scene is unnecessary and inevitably time consuming. Hence considering visual attention might be advantageous. A subfield of computer vision where this particular functionality is computationally emulated has been shown to retain high potential in solving real world vision problems effectively. In this

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36

MORGAN, KEITH PATRICK. "IMPROVED METHODS OF IMAGE SMOOTHING AND RESTORATION (NONSTATIONARY MODELS)." Diss., The University of Arizona, 1985. http://hdl.handle.net/10150/187959.

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The problems of noise removal, and simultaneous noise removal and deblurring of imagery are common to many areas of science. An approach which allows for the unified treatment of both problems involves modeling imagery as a sample of a random process. Various nonstationary image models are explored in this context. Attention is directed to identifying the model parameters from imagery which has been corrupted by noise and possibly blur, and the use of the model to form an optimal reconstruction of the image. Throughout the work, emphasis is placed on both theoretical development and practical

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37

Honková, Michaela. "Numerical Methods of Image Analysis in Astrometry." Doctoral thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2018. http://www.nusl.cz/ntk/nusl-375536.

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Velmi přesná následná astrometrie je nezbytným předpokladem sledování blízkozemních objektů, které mohou představovat riziko srážky se Zemí. Tato práce přináší ucelený přehled přesné astrometrie, obsahuje potřebnou matematickou teorii, postup předzpracování snímků v astronomii, a nastiňuje použití filtrů. Navrhuje nové metody pro vyrovnání pozadí snímků před provedením astrometrického měření pro případ, kdy nejsou dostupné kalibrační snímky. Tyto metody jsou založeny na vytvoření syntetického flatfieldu pomocí aplikování filtru na snímek a následné užití tohoto flatfieldu pro odstranění pozadí

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38

Pichon, Eric. "Novel Methods for Multidimensional Image Segmentation." Diss., Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/7504.

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Artificial vision is the problem of creating systems capable of processing visual information. A fundamental sub-problem of artificial vision is image segmentation, the problem of detecting a structure from a digital image. Examples of segmentation problems include the detection of a road from an aerial photograph or the determination of the boundaries of the brain's ventricles from medical imagery. The extraction of structures allows for subsequent higher-level cognitive tasks. One of them is shape comparison. For example, if the brain ventricles of a patient are segmented, can their shapes b

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39

Eddins, Steven L. "Subband analysis-synthesis and edge modeling methods for image coding." Diss., Georgia Institute of Technology, 1990. http://hdl.handle.net/1853/15697.

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40

Tommasi, Gianpaolo Francesco Maria. "Procedural methods in computer graphics." Thesis, University of Cambridge, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.358787.

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41

Long, Christopher J. "Wavelet methods in speech recognition." Thesis, Loughborough University, 1999. https://dspace.lboro.ac.uk/2134/14108.

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In this thesis, novel wavelet techniques are developed to improve parametrization of speech signals prior to classification. It is shown that non-linear operations carried out in the wavelet domain improve the performance of a speech classifier and consistently outperform classical Fourier methods. This is because of the localised nature of the wavelet, which captures correspondingly well-localised time-frequency features within the speech signal. Furthermore, by taking advantage of the approximation ability of wavelets, efficient representation of the non-stationarity inherent in speech can b

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42

Staudacher, Jochen. "Multigrid methods for matrices with structure and applications in image processing." [S.l. : s.n.], 2002. http://deposit.ddb.de/cgi-bin/dokserv?idn=965203433.

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43

Chen, Sha. "Digital image processing-based numerical methods for mechanics of heterogeneous geomaterials." Click to view the E-thesis via HKUTO, 2005. http://sunzi.lib.hku.hk/hkuto/record/B36357765.

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44

Chen, Sha, and 陳沙. "Digital image processing-based numerical methods for mechanics of heterogeneous geomaterials." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2005. http://hub.hku.hk/bib/B36357765.

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45

Al-Darkazali, Mohammed. "Image processing methods to segment speech spectrograms for word level recognition." Thesis, University of Sussex, 2017. http://sro.sussex.ac.uk/id/eprint/71675/.

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The ultimate goal of automatic speech recognition (ASR) research is to allow a computer to recognize speech in real-time, with full accuracy, independent of vocabulary size, noise, speaker characteristics or accent. Today, systems are trained to learn an individual speaker's voice and larger vocabularies statistically, but accuracy is not ideal. A small gap between actual speech and acoustic speech representation in the statistical mapping causes a failure to produce a match of the acoustic speech signals by Hidden Markov Model (HMM) methods and consequently leads to classification errors. Cer

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46

Tan, Lu. "Image Processing by Variational Methods, Stochastic Programming and Deep Learning Techniques." Thesis, Curtin University, 2020. http://hdl.handle.net/20.500.11937/82126.

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This thesis is to investigate effective approaches to tackle different problems in computer vision: variational methods are first studied for image processing, illusory contour reconstruction and segmentation as well as their efficiency improvement. Next, we develop variational segmentation methods by stochastic programming, tackling diverse problems with random noises. Third, the fusion approaches integrating varaitional models and deep neural networks are explored for challenging image tasks. These innovative ideas are validated by significant performance gains.

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47

Läthén, Gunnar. "Segmentation methods for medical image analysis : blood vessels, multi-scale filtering and level set methods /." Norrköping : Department of Science and Technology, Linköping University, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-54181.

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48

Wang, Jue. "Foreground segmentation in images and video : methods, systems, and applications /." Thesis, Connect to this title online; UW restricted, 2007. http://hdl.handle.net/1773/6130.

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Jones, Graham R. "Accurate radiosity methods for computer graphics." Thesis, University of Oxford, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.311985.

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Coria, Mendoza Lino Evgueni. "Low-complexity methods for image and video watermarking." Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/571.

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For digital media, the risk of piracy is aggravated by the ease to copy and distribute the content. Watermarking has become the technology of choice for discouraging people from creating illegal copies of digital content. Watermarking is the practice of imperceptibly altering the media content by embedding a message, which can be used to identify the owner of that content. A watermark message can also be a set of instructions for the display equipment, providing information about the content’s usage restrictions. Several applications are considered and three watermarking solutions are provided

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