Lossy Image Compression Using Multi Scale Decomposition Coding Schemes
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1
Lossy Image Compression Using Multi Scale Decomposition Coding Schemes
DE NWISBN: 9783330021457 bzw. 3330021454, in Deutsch, neu.
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, Lieferzeit: 11 Tage, zzgl. Versandkosten.
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.
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.
2
Lossy Image Compression Using Multi Scale Decomposition Coding Schemes
DE HC NWISBN: 9783330021457 bzw. 3330021454, in Deutsch, Lap Lambert Academic Publishing, gebundenes Buch, neu.
Lieferung aus: Deutschland, Versandkostenfrei innerhalb von Deutschland.
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 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. Lieferzeit 1-2 Werktage.
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 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. Lieferzeit 1-2 Werktage.
3
Lossy Image Compression Using Multi Scale Decomposition Coding Schemes
DE PB NWISBN: 9783330021457 bzw. 3330021454, in Deutsch, LAP Lambert Academic Publishing, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
Lossy Image Compression Using Multi Scale Decomposition Coding Schemes: 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. Englisch, Taschenbuch.
Lossy Image Compression Using Multi Scale Decomposition Coding Schemes: 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. Englisch, Taschenbuch.
4
Lossy Image Compression Using Multi Scale Decom (2017)
DE PB NWISBN: 9783330021457 bzw. 3330021454, in Deutsch, Taschenbuch, neu.
Lieferung aus: Deutschland, Next Day, Versandkostenfrei.
Erscheinungsdatum: 24.01.2017, Medium: Taschenbuch, Einband: Kartoniert / Broschiert, Titel: Lossy Image Compression Using Multi Scale Decomposition Coding Schemes, Autor: D. Ahmed, Shaymaa // E. George, Loay // N. Dhannoon, Ban, Verlag: LAP Lambert Academic Publishing, Sprache: Englisch, Rubrik: Informatik // EDV, Sonstiges, Seiten: 152, Informationen: Paperback, Gewicht: 243 gr, Verkäufer: averdo.
Erscheinungsdatum: 24.01.2017, Medium: Taschenbuch, Einband: Kartoniert / Broschiert, Titel: Lossy Image Compression Using Multi Scale Decomposition Coding Schemes, Autor: D. Ahmed, Shaymaa // E. George, Loay // N. Dhannoon, Ban, Verlag: LAP Lambert Academic Publishing, Sprache: Englisch, Rubrik: Informatik // EDV, Sonstiges, Seiten: 152, Informationen: Paperback, Gewicht: 243 gr, Verkäufer: averdo.
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