Methods for Solving Regularized Inverse Problems: From Non-Euclidean Fidelities to Computational Imaging Applications


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Many branches of science and engineering are concerned with the problem of recording signals from physical phenomena. However, an acquisition system does not always directly provide the high-quality signal representations that a given application requires... Lire la suite

Many branches of science and engineering are concerned with the problem of recording signals from physical phenomena. However, an acquisition system does not always directly provide the high-quality signal representations that a given application requires. Signal processing and the study of inverse problems offer a set of powerful tools to recover a good signal quality from altered raw measurements.
After an overview of the field, this thesis presents three contributions. The first contribution focuses on recovering a key structural property of a sparse signal, its support. It discusses guarantees associated to a convex optimization method with atypical fidelity, e.g., using a non-Euclidean norm. The second part introduces a method for learning a convolutional dictionary, used as a multimodal imaging prior.
This constitutes a practical way of sharing information between several imaging modalities, such as depth and light intensity. The last contribution revolves around the design of two multispectral compressive imaging strategies using spectrally filtered sensors. The first scheme relies on a generalized inpainting formulation in the multispectral volume, while the second system leverages the principles of compressed sensing from coded optical convolutions. This last chapter studies and compares both sensing models and discusses implementation challenges and tradeoffs.


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Spécifications


Éditeur
Presses universitaires de Louvain
Auteur
Kévin Degraux,
Collection
Thèses de l'École polytechnique de Louvain | n° 618
Langue
anglais
Catégorie (éditeur)
Sciences appliquées > Ingénierie mathématique
Catégorie (éditeur)
Sciences appliquées
BISAC Subject Heading
TEC000000 TECHNOLOGY & ENGINEERING > TEC009000 TECHNOLOGY & ENGINEERING / Engineering (General)
Code publique Onix
06 Professionnel et académique
CLIL (Version 2013-2019 )
3069 TECHNIQUES ET SCIENCES APPLIQUEES
Date de première publication du titre
19 octobre 2017
Type d'ouvrage
Thèse
Avec
Bibliographie, Lexique

Livre broché


Date de publication
29 janvier 2020
ISBN-13
978-2-87558-898-2
Ampleur
Nombre de pages de contenu principal : 200
Dépôt Légal
D/2019/9964/67 Louvain-la-Neuve, Belgique
Code interne
100147
Format
21 x 29,7 cm
Poids
519 grammes
Type de packaging
Aucun emballage extérieur
ONIX XML
Version 2.1, Version 3

PDF


Date de publication
29 janvier 2020
ISBN-13
978-2-87558-899-9
Ampleur
Nombre de pages de contenu principal : 200
Dépôt Légal
D/2019/9964/67 Louvain-la-Neuve, Belgique
Code interne
100147PDF
Prix
9,99 €
ONIX XML
Version 2.1, Version 3

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Sommaire


Introduction 11
Chapter 1
Lolo Edward "Bante" Primo, the Mambonong 15
Chapter 2
Lolo Nardo Bato 49
Chapter 3
Lolo Saturnino W. Dino 69
Chapter 4
Lola Agustina Etop 79
Chapter 5
Lola Rosita Milliano 99
Chapter 6
Lolo Marcial Monang 115
Chapter 7
Lolo Melanio Billit 149
Chapter 8
Lola Lucia Puga 159
Chapter 9
Lola Juana Willy 167
Glossaries    175
Nabaloy terms 175
Nabaloy terms for rituals 190
Animals, birds, reptiles, insects 194
Kabunians, spirits and personalities in stories 196