Multichannel Image Deconvolution: Application to Sparse Images - Couverture souple

Javed, Umer

 
9783639330427: Multichannel Image Deconvolution: Application to Sparse Images
Couverture souple
ISBN 10 : 3639330420 ISBN 13 : 9783639330427
Editeur : VDM Verlag Dr. Müller, 2011

Synopsis

Blind image deconvolution is a very challenging and important research field. It has been proved to be useful in many application areas such as medical imaging, astronomical imaging and remote sensing. Several methods have been used for single channel framework, but in this book a solution to Multichannel Blind Image Deconvolutioin problem has been proposed when the original image is assumed to be sparse and limited knowledge of the Point Spread Function (PSF) is available. The sparse nature of image has leaded us to consider the case of Magnetic Resonance Force Microscopy (MRFM), hence PSF of MRFM machine is used in this project. An alternating minimization algorithm is used for the purpose of restoring the original image as well as the P.S.F. The proposed approach has successfully restored the original image and system's PSF.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Blind image deconvolution is a very challenging and important research field. It has been proved to be useful in many application areas such as medical imaging, astronomical imaging and remote sensing. Several methods have been used for single channel framework, but in this book a solution to Multichannel Blind Image Deconvolutioin problem has been proposed when the original image is assumed to be sparse and limited knowledge of the Point Spread Function (PSF) is available. The sparse nature of image has leaded us to consider the case of Magnetic Resonance Force Microscopy (MRFM), hence PSF of MRFM machine is used in this project. An alternating minimization algorithm is used for the purpose of restoring the original image as well as the P.S.F. The proposed approach has successfully restored the original image and system's PSF.

Biographie de l'auteur

Umer Javed has done Masters in Electronic Engineering with specialization in Signal & Image processing from International Islamic University Islamabad in 2009. His research interests includes Evolutionary computing techniques, Neural Networks, Fuzzy Logic and Genetic Programming. His current research is focused on Unsupervised Machine Learning.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
VDM Verlag Dr. Müller
Date d'édition
2011
Langue
anglais
ISBN 10 
3639330420
ISBN 13 
9783639330427
Reliure
Broché
Nombre de pages
84
Coordonnées du fabricant
non disponible
Personne responsable
non disponible