Noise Cancellation in Images: Adaptive Filtering Approach - Couverture souple

Sahu, Satya Prakash; Verma, Shrish

 
9786134906340: Noise Cancellation in Images: Adaptive Filtering Approach
Couverture souple
ISBN 10 : 6134906344 ISBN 13 : 9786134906340
Editeur : LAP LAMBERT Academic Publishing, 2017

Synopsis

The book comprises the fundamental concept and case studies for the noise removal or cancellation through various methods of adaptive filters. Various noises such as Gaussian noise (GN), Salt and Pepper noise (SPN) and Speckle noise, (SN) associated with various noise levels are focussed. The methods for noise cancellation given in the books contain two major sections: Shifted version and Local mean estimation based method. These two methods have been presented based on two techniques such as least mean square (LMS) error and recursive least square (RLS) error.

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

Présentation de l'éditeur

The book comprises the fundamental concept and case studies for the noise removal or cancellation through various methods of adaptive filters. Various noises such as Gaussian noise (GN), Salt and Pepper noise (SPN) and Speckle noise, (SN) associated with various noise levels are focussed. The methods for noise cancellation given in the books contain two major sections: Shifted version and Local mean estimation based method. These two methods have been presented based on two techniques such as least mean square (LMS) error and recursive least square (RLS) error.

Biographie de l'auteur

Satya Prakash Sahu, is Assistant Professor in the Department of Information Technology, National Institute of Technology Raipur, India. He has over 12 years of teaching and research experience and more than 20 publications. His area of interest includes Image Processing, Soft Computing, Artificial Intelligence and Machine Learning.

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

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2017
Langue
anglais
ISBN 10 
6134906344
ISBN 13 
9786134906340
Reliure
Broché
Nombre de pages
76
Coordonnées du fabricant
non disponible
Personne responsable
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