Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659847747 ISBN 13: 9783659847745
Anbieter: Books Puddle, New York, NY, USA
Zustand: New.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659847747 ISBN 13: 9783659847745
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 71,35
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In den WarenkorbZustand: New. Print on Demand.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659847747 ISBN 13: 9783659847745
Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Zustand: New. PRINT ON DEMAND.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659847747 ISBN 13: 9783659847745
Anbieter: moluna, Greven, Deutschland
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In den WarenkorbZustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Nahar Ali KareemLecturer in Electrical Engineering Department, University of Technology, Iraq. Ph.D. student communication engineering in Electric and Electronic Faculty, University Malaysia Pahang. Education: B.Sc. Electric Enginee.
Sprache: Englisch
Verlag: LAP Lambert Academic Publishing, 2016
ISBN 10: 3659847747 ISBN 13: 9783659847745
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The Double-Density Wavelet Transform (DDWT) achieve great results compared to previous conventional methods less complexity. Credited with this good result, so due to a simplified account that deal with two-dimensional and three-dimensional images by the way and transformation matrices as if through a matrix multiplication between the picture and the conversion of number DDWT. In addition, the form of repeated goal is achieved with the optimization process for the appropriate application. Digital space and medical images play an important role both in daily life applications such as satellite channels, and magnetic resonance imaging calculated tomography, x-ray, and computer, as well as in the areas of research and technology such as GIS and astronomy and the images in the field of medicine. Contaminated data set collected by sensors overall picture noise.