Linear transforms and expansions are fundamental mathematical tools of signal processing. Accordingly, wavelet transform has played an important role in several signal processing tasks such as compression and denoising. However, wavelet transform fails to represent effectively the images, which have edges and treated them as smooth functions with discontinuities along curves. The curvelet transform has been developed as an alternative to wavelet transform in which frame elements are indexed by scale, location, and orientation parameters. The elements obey a special scaling law, where the length of the support of frame elements is approximately equal to square of the width of the support. Recently it has an important impact in image processing and communications.
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Dr. G. Jagadeeswar Reddy obtained his B.Tech in ECE from KSRMCE, Kadapa, M.Tech from SJCE, Mysore and Ph.D. from JNTU Hyderabad. He is Principal of EVM Engg. College,Narasaraopet, Guntur A.P. He is having more than 16 years of experience and has 10 technical publications in National /International journals and conferences.
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Linear transforms and expansions are fundamental mathematical tools of signal processing. Accordingly, wavelet transform has played an important role in several signal processing tasks such as compression and denoising. However, wavelet transform fails to represent effectively the images, which have edges and treated them as smooth functions with discontinuities along curves. The curvelet transform has been developed as an alternative to wavelet transform in which frame elements are indexed by scale, location, and orientation parameters. The elements obey a special scaling law, where the length of the support of frame elements is approximately equal to square of the width of the support. Recently it has an important impact in image processing and communications. 164 pp. Englisch. Seller Inventory # 9783845442198
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Reddy Guddeti JagadeeswarDr. G. Jagadeeswar Reddy obtained his B.Tech in ECE from KSRMCE, Kadapa, M.Tech from SJCE, Mysore and Ph.D. from JNTU Hyderabad. He is Principal of EVM Engg. College,Narasaraopet, Guntur A.P. He is having mor. Seller Inventory # 5482873
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Linear transforms and expansions are fundamental mathematical tools of signal processing. Accordingly, wavelet transform has played an important role in several signal processing tasks such as compression and denoising. However, wavelet transform fails to represent effectively the images, which have edges and treated them as smooth functions with discontinuities along curves. The curvelet transform has been developed as an alternative to wavelet transform in which frame elements are indexed by scale, location, and orientation parameters. The elements obey a special scaling law, where the length of the support of frame elements is approximately equal to square of the width of the support. Recently it has an important impact in image processing and communications.Books on Demand GmbH, Überseering 33, 22297 Hamburg 164 pp. Englisch. Seller Inventory # 9783845442198
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Enhancement of Image Compression and Denoising by Curvelet Transform | Compression and deniosing by curvelet transform | Guddeti Jagadeeswar Reddy (u. a.) | Taschenbuch | 164 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783845442198 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Seller Inventory # 106811541
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Linear transforms and expansions are fundamental mathematical tools of signal processing. Accordingly, wavelet transform has played an important role in several signal processing tasks such as compression and denoising. However, wavelet transform fails to represent effectively the images, which have edges and treated them as smooth functions with discontinuities along curves. The curvelet transform has been developed as an alternative to wavelet transform in which frame elements are indexed by scale, location, and orientation parameters. The elements obey a special scaling law, where the length of the support of frame elements is approximately equal to square of the width of the support. Recently it has an important impact in image processing and communications. Seller Inventory # 9783845442198
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