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About the Author
Shaymaa Dhyaa Aldeen Ahmed was born in september 28, 1985, Baghdad, Iraq. She is obtained her B.Sc 2007 and M.Sc. 2016 in computer science, college of science, university of baghdad,Iraq, she is currently an assistant lecturer in image processing at university of baghdad, Iraq.
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Lossy Image Compression Using Multi Scale Decomposition Coding Schemes
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LAP LAMBERT Academic Publishing Dez 2016, 2016
ISBN 10: 3330021454
ISBN 13: 9783330021457
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The increased use of computer and internet had been associated with the wide use of image data. This huge quantity of data can lead to many difficulties frequently, it must be stored, retrieved, analyzed and processed in an effective manner. Considerable storage capacity and very high bandwidth are required to transfer uncompressed multimedia (image, video and audio) data. So, the need of compressing image is raised dramatically. Despite a significant development in the performance of compression techniques, there is still room for new compression techniques. In this book, two coding schemes have been developed for compressing still images (smoothed and sharp edge) images based on wavelet transform coding and two types of 3 Dimension (3D) surface representations (i.e., Cubic Bezier Interpolation (CBI) and linear polynomial approximation) to doubly prune the existing smoothing parts of the image signal to achieve significant reduction in image data size without making significant subjective distortions. Where the image size, bit depth, and block size are different. 152 pp. Englisch. Seller Inventory # 9783330021457
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Lossy Image Compression Using Multi Scale Decomposition Coding Schemes
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LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3330021454
ISBN 13: 9783330021457
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The increased use of computer and internet had been associated with the wide use of image data. This huge quantity of data can lead to many difficulties frequently, it must be stored, retrieved, analyzed and processed in an effective manner. Considerable storage capacity and very high bandwidth are required to transfer uncompressed multimedia (image, video and audio) data. So, the need of compressing image is raised dramatically. Despite a significant development in the performance of compression techniques, there is still room for new compression techniques. In this book, two coding schemes have been developed for compressing still images (smoothed and sharp edge) images based on wavelet transform coding and two types of 3 Dimension (3D) surface representations (i.e., Cubic Bezier Interpolation (CBI) and linear polynomial approximation) to doubly prune the existing smoothing parts of the image signal to achieve significant reduction in image data size without making significant subjective distortions. Where the image size, bit depth, and block size are different. Seller Inventory # 9783330021457
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Lossy Image Compression Using Multi Scale Decomposition Coding Schemes
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ISBN 10: 3330021454
ISBN 13: 9783330021457
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: D. Ahmed ShaymaaShaymaa Dhyaa Aldeen Ahmed was born in september 28, 1985, Baghdad, Iraq. She is obtained her B.Sc 2007 and M.Sc. 2016 in computer science, college of science, university of baghdad,Iraq, she is currently an assistant. Seller Inventory # 159137383
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Lossy Image Compression Using Multi Scale Decomposition Coding Schemes
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Paperback. Condition: Brand New. 152 pages. 8.66x5.91x0.35 inches. In Stock. Seller Inventory # 3330021454
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Lossy Image Compression Using Multi Scale Decomposition Coding Schemes
Published by
LAP LAMBERT Academic Publishing Dez 2016, 2016
ISBN 10: 3330021454
ISBN 13: 9783330021457
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The increased use of computer and internet had been associated ¿with ¿the wide use of image data. This huge quantity of data can ¿lead to ¿many difficulties frequently, it must be ¿stored, retrieved, analyzed and ¿processed in an effective manner. Considerable storage capacity and ¿very high bandwidth are required to ¿transfer uncompressed ¿multimedia (image, video and audio) data. So, the need ¿of ¿compressing image is raised dramatically. Despite a significant ¿development in the performance of compression techniques, there is ¿still room for new compression techniques. In this book, two coding ¿schemes have ¿been developed for compressing still images (smoothed ¿and sharp edge) images based on wavelet transform coding and two ¿types of 3 Dimension (3D) ¿surface representations (i.e., Cubic Bezier ¿Interpolation (CBI) and linear ¿polynomial approximation) to doubly ¿prune the existing smoothing parts of the image signal to achieve ¿significant reduction in image data size without making significant ¿subjective distortions. Where the image size, bit depth, and block size ¿are different.¿VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 152 pp. Englisch. Seller Inventory # 9783330021457
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Lossy Image Compression Using Multi Scale Decomposition Coding Schemes
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Taschenbuch. Condition: Neu. Lossy Image Compression Using Multi Scale Decomposition Coding Schemes | Shaymaa D. Ahmed (u. a.) | Taschenbuch | 152 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330021457 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 108263112
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Lossy Image Compression Using Multi Scale Decomposition Coding Schemes
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ISBN 13: 9783330021457
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