Synopsis
In this Book, some low complexity and efficient coding approaches are proposed to compress color images. The suggested compression schemes consist of some coding modules. The first coding modules is indicated to perform color transform (i.e., YUV, YIQ, or YCbCr), their suitability was investigated experimentally. The second coding step is the application of the wavelet transform (tree decomposition); three known wavelet filters (i.e., Harr or biorthogonal wavelet filters (Tab3/5 and Tab7/9)) have been tested as the transform basis. The wavelet transform is exploited to resample the two chrominance subbands, and used to transform the luminance subband into its approximation coefficients and wavelet (detail) coefficients.
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About the Author
I am an assistant professor at Baghdad University College of Science. I have a PhD (2006) in Astronomy and MsC in Physics (1999) from Baghdad University.
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Color Image Compression Based DWT
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LAP LAMBERT Academic Publishing Jul 2013, 2013
ISBN 10: 3659413860
ISBN 13: 9783659413865
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this Book, some low complexity and efficient coding approaches are proposed to compress color images. The suggested compression schemes consist of some coding modules. The first coding modules is indicated to perform color transform (i.e., YUV, YIQ, or YCbCr), their suitability was investigated experimentally. The second coding step is the application of the wavelet transform (tree decomposition); three known wavelet filters (i.e., Harr or biorthogonal wavelet filters (Tab3/5 and Tab7/9)) have been tested as the transform basis. The wavelet transform is exploited to resample the two chrominance subbands, and used to transform the luminance subband into its approximation coefficients and wavelet (detail) coefficients. 140 pp. Englisch. Seller Inventory # 9783659413865
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Color Image Compression Based Dwt
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Color Image Compression Based DWT
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mohammed FaiselI am an assistant professor at Baghdad University College of Science. I have a PhD (2006) in Astronomy and MsC in Physics (1999) from Baghdad University.In this Book, some low complexity and efficient coding approa. Seller Inventory # 5154716
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Taschenbuch. Condition: Neu. Color Image Compression Based DWT | Faisel Mohammed | Taschenbuch | 140 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659413865 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 105722248
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Color Image Compression Based DWT
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In this Book, some low complexity and efficient coding approaches are proposed to compress color images. The suggested compression schemes consist of some coding modules. The first coding modules is indicated to perform color transform (i.e., YUV, YIQ, or YCbCr), their suitability was investigated experimentally. The second coding step is the application of the wavelet transform (tree decomposition); three known wavelet filters (i.e., Harr or biorthogonal wavelet filters (Tab3/5 and Tab7/9)) have been tested as the transform basis. The wavelet transform is exploited to resample the two chrominance subbands, and used to transform the luminance subband into its approximation coefficients and wavelet (detail) coefficients.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 140 pp. Englisch. Seller Inventory # 9783659413865
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Color Image Compression Based DWT
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this Book, some low complexity and efficient coding approaches are proposed to compress color images. The suggested compression schemes consist of some coding modules. The first coding modules is indicated to perform color transform (i.e., YUV, YIQ, or YCbCr), their suitability was investigated experimentally. The second coding step is the application of the wavelet transform (tree decomposition); three known wavelet filters (i.e., Harr or biorthogonal wavelet filters (Tab3/5 and Tab7/9)) have been tested as the transform basis. The wavelet transform is exploited to resample the two chrominance subbands, and used to transform the luminance subband into its approximation coefficients and wavelet (detail) coefficients. Seller Inventory # 9783659413865
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