Optimization Based Filtering Random by Mukhopadhyay Somnath (7 results)
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Taschenbuch. Condition: Neu. Optimization based Filtering of Random Valued Impulses | An Algorithmic Approach | Somnath Mukhopadhyay (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783847372752 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]p…reigu[dot]de | Anbieter: preigu.
Optimization Based Filtering Of Random Valued Impulses: An Algorithmic Approach
Mukhopadhyay, Somnath; Mandal, J. K.; Mukhopadhyay, Somnath; Mandal, J. K.
- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Paperback. Condition: Brand New. 148 pages. 8.66x5.91x0.34 inches. In Stock.
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mukhopadhyay SomnathSomnath Mukhopadhyay, M. Tech. (CSE, K.U.), Asst. Prof., Aryabhatta Institute of Engineering & Management Durgapur. Pursuing Ph.D in (Engg., K.U.) & 7 public…ations. J. K. Mandal, M. Tech. (CS, C.U.),Ph.D.(Engg., J.
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Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book describes the concepts of image de noising methods with optimization of the operators through easy-to-understand steps and schematic diagrams. Introductory chapter describes the basics of image processing including various exis…ting methods of image de noising both in spatial and frequency domains. An extensive literature survey along with analysis of the existing schemes and their visual restoration results for the benchmark images are described. Among two most popular noise models, Random Valued Impulse Noise model has been taken for restoration purpose in this book. Filtering methods based on directional weighted minimum variance, all neighbor directional weighted pixels, fixed and variable mask median are presented in this book. Optimizations of the methods are done using two recent stochastic global optimization techniques such as GA and PSO, along with analysis of simulation results and comparisons with recent operators. All of these features make this book ideal for image de noising and related applications in the field of medical, satellite and under water image processing. Practicing engineers would also find this book to be a valuable reference source.
