Statistical Methods for Image Registration and Denoising - Couverture rigide

Sambora, Matthew D

Couverture rigide

ISBN 10 : 1025112369 ISBN 13 : 9781025112367

Editeur : Hutson Street Press, 2025

Synopsis

This dissertation describes research into image processing techniques that enhance military operational and support activities. The research extends existing work on image registration by introducing a novel method that exploits local correlations to improve the performance of projection-based image registration algorithms. The dissertation also extends the bounds on image registration performance for both projection-based and full-frame image registration algorithms and extends the Barankin bound from the one-dimensional case to the problem of two-dimensional image registration. It is demonstrated that in some instances, the Cramer-Rao lower bound is an overly-optimistic predictor of image registration performance and that under some conditions, the Barankin bound is a better predictor of shift estimator performance. The research also looks at the related problem of single-frame image denoising using block-based methods. The research introduces three algorithms that operate by identifying regions of interest within a noise-corrupted image and then generating noise free estimates of the regions as averages of similar regions in the image.

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Détails de l'édition

• Éditeur: Hutson Street Press
• Date d'édition: 2025
• Langue: anglais
• ISBN 10: 1025112369
• ISBN 13: 9781025112367
• Reliure: Relié
• Nombre de pages: 154
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible