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Rozprawy doktorskie na temat „Image Encode”

Autor: Grafiati
Data publikacji: 3 czerwca 2025
Data aktualizacji: 31 lipca 2025

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1

Silva, Alan Henrique Ferreira. "Aplicação de transformação conforme em codificação e decodificação de imagens." Universidade Federal de Goiás, 2016. http://repositorio.bc.ufg.br/tede/handle/tede/7015.

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Submitted by JÚLIO HEBER SILVA (julioheber@yahoo.com.br) on 2017-03-24T17:48:37Z No. of bitstreams: 2 Dissertação - Alan Henrique Ferreira Silva - 2016.pdf: 10881029 bytes, checksum: 1c411277f8b103cc8a55709053ed7f9b (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5)<br>Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2017-03-27T15:13:01Z (GMT) No. of bitstreams: 2 Dissertação - Alan Henrique Ferreira Silva - 2016.pdf: 10881029 bytes, checksum: 1c411277f8b103cc8a55709053ed7f9b (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8
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Nelson, Christopher. "Contour encoded compression and transmission /." Diss., CLICK HERE for online access, 2006. http://contentdm.lib.byu.edu/ETD/image/etd1613.pdf.

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Rew, Gayle Astrid Adele. "Studies in zone plate encoded holography with high energy gamma rays." Thesis, University of Birmingham, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.366166.

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Nelson, Christopher B. "Contour Encoded Compression and Transmission." BYU ScholarsArchive, 2006. https://scholarsarchive.byu.edu/etd/1096.

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As the need for digital libraries, especially genealogical libraries, continues to rise, the need for efficient document image compression is becoming more and more apparent. In addition, because many digital library users access them from dial-up Internet connections, efficient strategies for compression and progressive transmission become essential to facilitate browsing operations. To meet this need, we developed a novel method for representing document images in a parametric form. Like other “hybrid" image compression operations, the Contour Encoded Compression and Transmission (CECAT) sys
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Sen, Basabdatta B. "Information recovery from rank-order encoded images." Thesis, University of Manchester, 2008. http://eprints.lincoln.ac.uk/10601/.

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The time to detection of a visual stimulus by the primate eye is recorded at 100 – 150ms. This near instantaneous recognition is in spite of the considerable processing required by the several stages of the visual pathway to recognise and react to a visual scene. How this is achieved is still a matter of speculation. Rank-order codes have been proposed as a means of encoding by the primate eye in the rapid transmission of the initial burst of information from the sensory neurons to the brain. We study the efficiency of rank-order codes in encoding perceptually-important information in an image
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Geddes, Patrick H. "Displaying and improving run-length encoded images on a BTOS system." Master's thesis, This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-02162010-020208/.

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Sayers, Edward John. "An encoded microwell array for multi-image analysis of cells." Thesis, Cardiff University, 2012. http://orca.cf.ac.uk/32306/.

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In cell populations there is a great deal of heterogeneity. Cells can be seen to react different to the same stimulus despite being the same cell type and under the same conditions. Single cell analysis of a population is, therefore, crucial to understanding the nature of these differences. Using different technologies to study a single cell can help a researcher gather more data on the nature of these differences. The first part of this study looked at the development of a microwell array as a technique to allow correlative microscopy of non-adherent cell types. Laser ablation was used to gen
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Oh, Han, and Yookyung Kim. "Low-Complexity Perceptual JPEG2000 Encoder for Aerial Images." International Foundation for Telemetering, 2011. http://hdl.handle.net/10150/595684.

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ITC/USA 2011 Conference Proceedings / The Forty-Seventh Annual International Telemetering Conference and Technical Exhibition / October 24-27, 2011 / Bally's Las Vegas, Las Vegas, Nevada<br>A highly compressed image inevitably has visible compression artifacts. To minimize these artifacts, many compression algorithms exploit the varying sensitivity of the human visual system (HVS) to different frequencies. However, this sensitivity has typically been measured at the near-threshold level where distortion is just noticeable. Thus, it is unclear that the same sensitivity applies at the supra-thre
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Pai, Saparna. "Molecular characterisation of EBV encoded immunomodulators and their role in EBV associated infections and malignancies /." [St. Lucia, Qld.], 2002. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe17138.pdf.

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Nam, Ju-Hun, Seong-Jong Kim, Sung-Min Kim, Nam-Sik Lee, and Jin-Hyung Kim. "Implementation of real-time DIS H.264 Encoder for Airborne Recorder." International Foundation for Telemetering, 2012. http://hdl.handle.net/10150/581621.

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ITC/USA 2012 Conference Proceedings / The Forty-Eighth Annual International Telemetering Conference and Technical Exhibition / October 22-25, 2012 / Town and Country Resort & Convention Center, San Diego, California<br>When developing a video compression system in black box for aircraft, it is necessary to consider the characteristic of the images and the surrounding environment. The images captured in and out of aircraft have excessive movement-related issues, which make the results difficult to analyze and interpret. Failure to remove the tremors in the video component inevitably leads to po
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Subbalakshmi, K. P. "Joint source-channel decoding of variable-length encoded sources with applications to image transmission." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0013/NQ61684.pdf.

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12

Samuth, Benjamin. "Ηybrid mοdels cοmbining deep neural representatiοns and nοn-parametric patch-based methοds fοr phοtοrealistic image generatiοn". Electronic Thesis or Diss., Normandie, 2024. http://www.theses.fr/2024NORMC249.

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Le domaine de la génération d'images a récemment connu de fortesavancées grâce aux rapides évolutions des modèles neuronaux profonds.Leur succès ayant atteint une portée au-delà de la sphèrescientifique, de multiples inquiétudes et questionnements se sontlégitimement soulevées quant à leur fonctionnement et notammentl'usage de leurs données d'entraînement. En effet, ces modèles sont sivolumineux en paramètres et coûteux en énergie qu'il en devientdifficile d'offrir des garanties et des explications concrètes. Àl'inverse, des modèles légers et explicables seraient souhaitablespour répondre à ce
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Ahn, Euijoon. "Unsupervised Deep Feature Learning for Medical Image Analysis." Thesis, University of Sydney, 2020. https://hdl.handle.net/2123/23002.

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The availability of annotated image datasets and recent advances in supervised deep learning methods are enabling the end-to-end derivation of representative image features that can impact a variety of image analysis problems. These supervised methods use prior knowledge derived from labelled training data and approaches, for example, convolutional neural networks (CNNs) have produced impressive results in natural (photographic) image classification. CNNs learn image features in a hierarchical fashion. Each deeper layer of the network learns a representation of the image data that is higher le
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Vassiliades, V. "Application of signal detection theory to the recognition of objects in colour-encoded X-ray images." Thesis, Nottingham Trent University, 2010. http://irep.ntu.ac.uk/id/eprint/245/.

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Aviation security personnel encounter problems when interpreting x-ray images of hand luggage. This research seeks to determine whether the performance of the human operator can be improved, in terms of both reliability and accuracy, through the employment of a novel multiple-view x-ray imaging technique. Thus, a series of experiments were undertaken with the aim of providing evidence for the feasibility of using KDEX displays to aid in the recognition of threatening objects in airport carry-on luggage; and furthermore demonstrate the real-world value of this technique. This thesis describes e
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Hoffman, Marc. "Efficient Software and Hardware Implementations of the H.264 Entropy Encoders." University of Dayton / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1322668418.

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Daliparthi, Venkata Satya Sai Ajay. "Semantic Segmentation of Urban Scene Images Using Recurrent Neural Networks." Thesis, Blekinge Tekniska Högskola, Institutionen för datavetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-20651.

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Background: In Autonomous Driving Vehicles, the vehicle receives pixel-wise sensor data from RGB cameras, point-wise depth information from the cameras, and sensors data as input. The computer present inside the Autonomous Driving vehicle processes the input data and provides the desired output, such as steering angle, torque, and brake. To make an accurate decision by the vehicle, the computer inside the vehicle should be completely aware of its surroundings and understand each pixel in the driving scene. Semantic Segmentation is the task of assigning a class label (Such as Car, Road, Pedestr
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Gil, Rodríguez Raquel. "Digital camera colour processing pipeline for high dynamic range imaging and colour stabilisation for cinema." Doctoral thesis, Universitat Pompeu Fabra, 2018. http://hdl.handle.net/10803/664378.

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In this thesis we focus on two different image processing challenges: high dynamic range (HDR) image/video generation, and colour matching. In both cases, we redefine these tasks by taking into account the prior knowledge from the different processes the camera performs when capturing the image. High dynamic range techniques have recently become very popular, thanks to the emergence of HDR recording and displaying technology. We propose two different approaches for HDR creation, one for still images, and one for video creation. In case of still images, most of previous methods follow a multiple ex
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Thiesse, Jean-Marc. "Codage vidéo flexible par association d'un décodeur intelligent et d'un encodeur basé optimisation débit-distorsion". Phd thesis, Université de Nice Sophia-Antipolis, 2012. http://tel.archives-ouvertes.fr/tel-00719058.

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Cette thèse est dédiée à l'amélioration des performances de compression vidéo. Deux types d'approches, conventionnelle et en rupture, sont explorées afin de proposer des méthodes efficaces de codage Intra et Inter pour les futurs standards de compression. Deux outils sont étudiés pour la première approche. Tout d'abord, des indices de signalisations sont habilement traités par une technique issue du tatouage permettant de les masquer dans les résiduels de luminance et de chrominance de façon optimale selon le compromis débit-distorsion. La forte redondance dans le mouvement est ensuite exploitée
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19

Abidi, Azza. "Investigating Deep Learning and Image-Encoded Time Series Approaches for Multi-Scale Remote Sensing Analysis in the context of Land Use/Land Cover Mapping." Electronic Thesis or Diss., Université de Montpellier (2022-....), 2024. http://www.theses.fr/2024UMONS007.

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Cette thèse explore le potentiel de l'apprentissage automatique pour améliorer la cartographie de modèles complexes d'utilisation des sols et de la couverture terrestre à l'aide de données d'observation de la Terre. Traditionnellement, les méthodes de cartographie reposent sur la classification et l'interprétation manuelles des images satellites, qui sont sujettes à l'erreur humaine. Cependant, l'application de l'apprentissage automatique, en particulier par le biais des réseaux neuronaux, a automatisé et amélioré le processus de classification, ce qui a permis d'obtenir des résultats plus obj
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Didier, Marie Duchemin Pierre-Yves. "Indexation, structuration et encodage des fonds iconographiques le fonds Léon Lefebvre de la Bibliothèque municipale de Lille /." [S.l.] : [s.n.], 2004. http://www.enssib.fr/bibliotheque/documents/dcb/didier.pdf.

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Sasko, Dominik. "Segmentace lézí roztroušené sklerózy pomocí hlubokých neuronových sítí." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442379.

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Hlavným zámerom tejto diplomovej práce bola automatická segmentácia lézií sklerózy multiplex na snímkoch MRI. V rámci práce boli otestované najnovšie metódy segmentácie s využitím hlbokých neurónových sietí a porovnané prístupy inicializácie váh sietí pomocou preneseného učenia (transfer learning) a samoriadeného učenia (self-supervised learning). Samotný problém automatickej segmentácie lézií sklerózy multiplex je veľmi náročný, a to primárne kvôli vysokej nevyváženosti datasetu (skeny mozgov zvyčajne obsahujú len malé množstvo poškodeného tkaniva). Ďalšou výzvou je manuálna anotácia týchto l
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Messaoudi, Kamel. "Traitement des signaux et images en temps réel : "implantation de H.264 sur MPSoC"." Phd thesis, Université de Bourgogne, 2012. http://tel.archives-ouvertes.fr/tel-00905872.

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Cette thèse est élaborée en cotutelle entre l'université Badji Mokhtar (Laboratoire LERICA) et l'université de bourgogne (Laboratoire LE2I, UMR CNRS 5158). Elle constitue une contribution à l'étude et l'implantation de l'encodeur H.264/AVC. Durent l'évolution des normes de compression vidéo, une réalité sure est vérifiée de plus en plus : avoir une bonne performance du processus de compression nécessite l'élaboration d'équipements beaucoup plus performants en termes de puissance de calcul, de flexibilité et de portabilité et ceci afin de répondre aux exigences des différents traitements et sat
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Klaghstan, Merza. "Multimedia data dissemination in opportunistic systems." Thesis, Lyon, 2016. http://www.theses.fr/2016LYSEI125/document.

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Les réseaux opportunistes sont des réseaux mobiles qui se forment spontanément et de manière dynamique grâce à un ensemble d'utilisateurs itinérants dont le nombre et le déplacement ne sont pas prévisibles. En conséquence, la topologie et la densité de tels réseaux évoluent sans cesse. La diffusion de bout-en-bout d'informations, dans ce contexte, est incertaine du fait de la forte instabilité des liens réseaux point à point entre les utilisateurs. Les travaux qui en ont envisagé l'usage visent pour la plupart des applications impliquant l'envoi de message de petite taille. Cependant, la trans
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Nilsson, Mårten. "Augmenting High-Dimensional Data with Deep Generative Models." Thesis, KTH, Robotik, perception och lärande, RPL, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233969.

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Data augmentation is a technique that can be performed in various ways to improve the training of discriminative models. The recent developments in deep generative models offer new ways of augmenting existing data sets. In this thesis, a framework for augmenting annotated data sets with deep generative models is proposed together with a method for quantitatively evaluating the quality of the generated data sets. Using this framework, two data sets for pupil localization was generated with different generative models, including both well-established models and a novel model proposed for this pu
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Tresánchez, Ribes Marcel. "Aplicación de sensores de flujo óptico para el desarrollo de nuevos sistemas de medida de bajo coste." Doctoral thesis, Universitat de Lleida, 2011. http://hdl.handle.net/10803/53078.

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En aquesta memòria es presenten diversos treballs relacionats amb la utilització dels sensor de flux òptic de baix cost pel desenvolupament de nous sistemes de mesura compactes i de molt baix cost. Les aplicacions plantejades permeten aprofitar tot el potencial industrial d’aquest tipus de sensors. Els sensors de flux òptic tenen la peculiaritat d’incorporar dins d’un únic encapsulat un sistema d’adquisició d’imatges i un processador digital preprogramat per a realitzar el còmput de flux òptic (optical flow) de la imatge. D’aquesta manera, aquest tipus de sensors no requereixen cap sistema pr
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ROBERT, Laurent. "Annotation et visualisation interactives de documents hypermédias." Phd thesis, Télécom ParisTech, 2001. http://tel.archives-ouvertes.fr/tel-00005631.

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Le développement du multimédia, des capacités de stockage et du matériel de numérisation permet de mettre à disposition sous une forme électronique un nombre toujours croissant de documents " matériels " (journaux, cartes, photographies, peintures, cahiers d'expérimentations, originaux d'œuvres littéraires, rapports, etc.). La numérisation, le stockage et la diffusion de ces matériaux sources ne posent aujourd'hui plus réellement problème. Néanmoins, il s'avère que les utilisateurs ont souvent des difficultés à exploiter ces documents en milieu informatique. Cet état de fait est la conséquence
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Bodnarova, Adriana. "Texture analysis for automatic visual inspection and flaw detection in textiles." Thesis, Queensland University of Technology, 2000.

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Payan, Frédéric. "Optimisation du compromis débit/distorsion pour la compression géométrique de maillages surfaciques triangulaires." Phd thesis, Université de Nice Sophia-Antipolis, 2004. http://tel.archives-ouvertes.fr/tel-00011445.

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les travaux développés dans cette thèse portent sur l'optimisation du compromis débit-distorsion pour des maillages triangulaires quantifiés par un codeur géométrique. De nombreux travaux considèrent que la géométrie est la composante la plus importante d'un maillage polygonal. Les codeurs issus de ces travaux appelés codeurs géométriques, incluent une étape de remaillage et une transformée en ondelettes qui permet une analyse multirésolution efficace. L'objectif de nos travaux est de proposer un codeur géométrique incluant une allocation binaire qui optimise la qualité visuelle du maillage re
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Baccouche, Moez. "Apprentissage neuronal de caractéristiques spatio-temporelles pour la classification automatique de séquences vidéo." Phd thesis, INSA de Lyon, 2013. http://tel.archives-ouvertes.fr/tel-00932662.

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Cette thèse s'intéresse à la problématique de la classification automatique des séquences vidéo. L'idée est de se démarquer de la méthodologie dominante qui se base sur l'utilisation de caractéristiques conçues manuellement, et de proposer des modèles qui soient les plus génériques possibles et indépendants du domaine. Ceci est fait en automatisant la phase d'extraction des caractéristiques, qui sont dans notre cas générées par apprentissage à partir d'exemples, sans aucune connaissance a priori. Nous nous appuyons pour ce faire sur des travaux existants sur les modèles neuronaux pour la recon
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Chang, Yung-Yi, and 張永義. "Lossless Image Compression JPEG-LS Encoder IC Design." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/72850805980506548387.

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碩士<br>國立臺灣大學<br>電機工程學研究所<br>91<br>The image data compression technology has very important position in our life. There are many image compression algorithms created for the request of the people. We need different image compression technology for a variety of applications. This thesis is mainly aimed at the lossless image data compression technology. We analyze following lossless compression algorithm lossless JPEG, JPEG-LS, CALIC, Lossless JPEG-2000 and PNG. The result show that JPEG-LS is a good compression algorithm. For the business application purpose, the lossless image compre
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Li, Chien-Hao, and 李健豪. "Unequal Error Protection on SLCCA Image Encoded Bit Stream." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/10413855891662040993.

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碩士<br>國立中山大學<br>資訊工程學系研究所<br>90<br>In SLCCA , the location and magnitude of significant coefficients are specified by the so-called significance map and magnitude respectively . As we know significance map is susceptible , error will propagate when data was deteriorated . This paper address this critical problem and provide an novel approach . In the significance map , the importance of data is interlaced . And our approach is to re-organize the significant map according to encoded symbol’s characteristic . In SLCCA , four symbols are used to encode : POS , NEG , ZERO , LINK . POS or NEG rep
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陳伯南. "A Real-time H.264/AVC Encoder Using Image Indexing." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/29930890317984279338.

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Lai, Hsin-Cheng, and 賴信丞. "A Modified H.264 Intra-frame Encoder for Gastrointestinal Image." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/73895870017674517613.

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碩士<br>國立交通大學<br>電機與控制工程系所<br>96<br>The objective of this thesis is to develop an ultra-low-power image compression processor for capsule endoscope or swallowable imaging capsules. In applications of capsule endoscope, it is imperative to consider battery life and performance trade-offs. Applying state-of-the-art video compression techniques may significantly reduce the image bit rate by their high compression ratio, but they all require intensive computation and consume much power from battery. There are many fast compression algorithms for reducing computation load; however, they may result i
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Lin, Chien Hung, and 林建宏. "Noise Reduction and Concealment for Block Encoded Images." Thesis, 1995. http://ndltd.ncl.edu.tw/handle/12241925468495404956.

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Hsieh, Hsiang-Hu, and 謝祥祜. "Implementation of an arithmetic encoder for bi-level images." Thesis, 1996. http://ndltd.ncl.edu.tw/handle/22784620510538061712.

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碩士<br>國立臺灣大學<br>電機工程研究所<br>84<br>The transmission of bi-level images is an important issue in our daily life. Especially due to the wide uses of fax machines, the resources of telephone lines have been exhaused fast and the progress of developing news resource is still slow. In order to reduce the amount of transmission, an efficient algorithm for data compression must be developed. A lot of arithmetic operations is needed in an efficient compression algorithm, this means lots of computing
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Lin, Yu-Ru, and 林伃茹. "Image Based Fault Classification for Tennessee Eastman Process using Deep Auto-Encoder." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/6rf7dv.

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Chou, Chia-yi, and 周佳怡. "Unequal Error Protection for Packetized Transmission of SPIHT-Encoded Images." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/2v7cud.

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碩士<br>國立臺灣科技大學<br>電子工程系<br>99<br>Due to the rapid development of multimedia technologies, the effective compression and transmission methods against the limited storage space is needed. The characteristics of wavelet transform make it suitable for image compression. Coupled with the discrete wavelet transform, set partitioning in hierarchical trees (SPIHT) is a highly efficient image compression technique that allows for progressive transmission. One issue, however, is that its decoding can be extremely sensitive to errors in the embedded bit stream generated by the SPIHT encoder. The transmi
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Kao, Tien-Tsai, and 高天財. "Error Tolerability Analysis and Error-Tolerant Design Investigation of A JPEG2000 Image Encoder." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/90365775626282384297.

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碩士<br>國立中山大學<br>電機工程學系研究所<br>101<br>JPEG2000 is a new image compression standard formulated by Joint Photographic Experts Group in 2000. There are two modes for image compression in JPEG2000 standard: lossless compression mode and lossy compression mode. Compare with JPEG image compression standard, JPEG2000 can achieve higher compression ratio with the same quality of compressed images, and no blocking artifacts will be generated after images are compressed. Due to the shrinking of transistors, the problems of low yield, low reliability and short lifetime become more serious. Conventional
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Chang, Chun-Han, and 張竣涵. "Hardware Accelerator Design of a CCSDS Image Compression Standard Compliant Bit Plane Encoder." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/9ep2nn.

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碩士<br>國立中興大學<br>電機工程學系所<br>107<br>Image compression is one the major techniques in various space missions and remote sensing systems. Consultative Committee for Space Data Systems (CCSDS) has developed a data compression standard for the tasks on the satellite. This algorithm is based on JPEG2000 and SPIHT. The purpose is compressing the satellite imagery and transmitting it to the ground earth station in real time while trying to reach the balance between memory buffer requirement and image quality. The CCSDS IDC algorithm consists of two major functional parts: Discrete Wavelet Transform(DWT
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"A study of the transmission of VBR encoded video over ATM networks." 1997. http://library.cuhk.edu.hk/record=b5889342.

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by Ngai Li.<br>Thesis (M.Phil.)--Chinese University of Hong Kong, 1997.<br>Includes bibliographical references (leaves 66-69).<br>Chapter 1 --- Introduction --- p.1<br>Chapter 1.1 --- Video Compression and Transport --- p.2<br>Chapter 1.2 --- Research Contributions --- p.6<br>Chapter 1.2.1 --- Joint Rate Control of VBR Encoded Video --- p.6<br>Chapter 1.2.2 --- Transporting VBR Video on LB Controlled Channel --- p.7<br>Chapter 1.3 --- Organization of Thesis --- p.7<br>Chapter 2 --- Preliminary --- p.9<br>Chapter 2.1 --- Statistical Characteristics of MPEG-1 Encoded Video --- p.9<br>Cha
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Kau, Lih-Jen, and 高立人. "Predictively Encoded Techniques with Edge-look-ahead for Lossless Compression of Images." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/29322098249674664592.

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博士<br>國立交通大學<br>電機與控制工程系所<br>97<br>Lossless image coding is required by many applications, such as medical imaging, remote sensing, and image archiving. It has remained a major challenge to source coding community for the difficulty of removing statistical redundancy effectively and efficiently. Therefore, many approaches have been proposed for lossless compression of images. Among proposed approaches, some of which are based on reversible transform coding, like integer wavelet transformation. However, we find in literatures that the results obtained by using transform coding are typically inf
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Chi, Sinclair. "A transmission system for DPCM encoded monochrome images over a noisy channel." Thesis, 1998. http://hdl.handle.net/2429/8026.

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Due to the high correlation of neighbouring pixel values of a digital image, DPCM picture transmission has been a well investigated area of image compression. DPCM has found its way into standards such as JPEG and MPEG which have revolutionized the multimedia industry. However, because of the high noise sensitivity of DPCM compressed images, techniques must be developed to reduce the disturbing effects of channel errors. Hence, a DPCM image transmission system over a binary symmetric channel is studied, along with techniques used to improve picture quality. Two concepts which are the foc
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Chen, Peng-Cheng, and 陳鵬丞. "Semi-Supervised Learning Framework with an Auto-Elastic Convolutional Auto-Encoder for Image Classification Design." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/sv6v8s.

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碩士<br>逢甲大學<br>自動控制工程學系<br>106<br>More and more attention of the deep learning for image and speech recognition, even artificial intelligence (AI) beats humans in ancient game of Go has been attracted with the development of computer and electronic devices. In neural networks, deep learning with convolutional neural network (CNN) has been widely utilized in numerous applications of automatic image recognition, such as multiple object detection and classification, object tracking, sematic segmentation, and most of them have achieved outstanding results. However, with the applications are becomin
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An-ChaoTsai and 蔡安朝. "Fast Algorithms for Intra Prediction in H.264/AVC Encoder and Image Scaling Algorithm for SVC." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/94007741204628167383.

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博士<br>國立成功大學<br>電機工程學系碩博士班<br>98<br>H.264, MPEG-4 Part 10, is the latest digital video coding standard that achieves very high data compression by using several new coding features. In H.264/AVC intra frame coding, the rate-distortion optimization (RDO) is employed to select the optimal coding mode to achieve the minimum rate-distortion cost. Due to a large number of combinations of coding modes, the computational burden of intra prediction becomes extremely high for real time applications. This dissertation aims to propose fast algorithms for intra coding to enhance the coding speed while ret
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Chen, Yu-Ren, and 陳宥任. "VLSI Implementation of a Low-Cost and Low-Complexity Lossless Image Compression Encoder for Wireless Capsule Endoscopy." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/36189940040974685478.

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碩士<br>中原大學<br>電子工程研究所<br>102<br>In this thesis, a low-cost and low-complexity lossless image compression algorithm based on JPEG-LS is proposed for the implementation of wireless capsule endoscopy. Since the proposed algorithm is developed for VLSI implementation, a context model in traditional JPEG-LS standard is reduced because of the high complexity and memory requirement. The proposed novel low-complexity lossless image compression algorithm contains a prediction model, a regular mode, and a hybrid entropy coding model. The hybrid entropy coding model consists of a Huffman and a Golomb-Ric
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Wang, Lee-Jyi, and 王李吉. "Fast Progressive Diversity Allocation for Unequal Erasure Protection of Transmission of SPIHT-Encoded Images." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/46628408452428494121.

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博士<br>國立臺灣科技大學<br>電子工程系<br>104<br>Based on the embedded zero tree (EZT) coding with discrete wavelet transform (DWT), SPIHT (set partitioning in hierarchical trees) is a highly efficient image compression technique that can be stopped at any bit, and thus allows for progressive transmission. However, one problem exist- ing in SPIHT is that its decoding could be extremely sensitive to bit errors in the code sequence. In this dissertation, we address the issue of trans- mitting SPIHT-encoded images via noisy channels, wherein errors are inevitable. The communication scenario assumed in this dis
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SAIDY, LAMIN, and 沈嵐閩. "LUNG SEGMENTATION IN CHEST X-Ray IMAGES USING SUPERPIXEL DOWNSAMPLING AND ENCODER-DECODER CONVOLUTIONAL NETWORKS." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/pd5y8n.

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碩士<br>元智大學<br>通訊工程學系<br>106<br>This study presents a deep learning method of segmenting lungs in chest X-ray image using encoder-decoder convolutional neural network. It also compares two modules as downsampling and upsampling algorithms, a bicubic interpolation over 4x4 pixel neighborhood and USEQ (Ultra-Fast Superpixel Extraction via Quantization). They are used as preprocessing modules to downsample the input image for segmentation and postprocessing module to upsample the network output to the original space for proper analysis. The experimental datasets consist of JSRT (Japanese Society o
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Pandey, Gaurav. "Deep Learning with Minimal Supervision." Thesis, 2017. http://etd.iisc.ac.in/handle/2005/4315.

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Abstract In recent years, deep neural networks have achieved extraordinary performance on supervised learning tasks. Convolutional neural networks (CNN) have vastly improved the state of the art for most computer vision tasks including object recognition and segmentation. However, their success relies on the presence of a large amount of labeled data. In contrast, relatively fewer work has been done in deep learning to handle scenarios when access to ground truth is limited, partial or completely absent. In this thesis, we propose models to handle challenging problems with limited labeled inf
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Touati, Redha. "Détection de changement en imagerie satellitaire multimodale." Thèse, 2019. http://hdl.handle.net/1866/22662.

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The purpose of this research is to study the detection of temporal changes between two (or more) multimodal images satellites, i.e., between two different imaging modalities acquired by two heterogeneous sensors, giving for the same scene two images encoded differently and depending on the nature of the sensor used for each acquisition. The two (or multiple) multimodal satellite images are acquired and coregistered at two different dates, usually before and after an event. In this study, we propose new models belonging to different categories of multimodal change detection in remote sen
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