Blending Models for Image Enhancement and Coding: Surface representation with polynomial blending functions for enhancement and coding of images and VRML models - Softcover
Synopsis
We propose practical algorithms for efficient representation of images. Polynomial blending functions are used for image coding and enhancement. We use this surface model to represent image regions resulting in high perceived quality. We show that the image artifacts originated by quantization can be drastically reduced by using a representation based on blending functions. They are designed to mitigate the quantization noise generated by lossy image coding techniques like JPEG-DCT and JPEG-LS. A new recursive triangular partitioning (RTP) is proposed to represent an image by triangular blending surfaces. Efficient triangular blending models are proposed. The resulting coding algorithm becomes competitive to the state-of-art algorithms based on JPEG-DCT and wavelets. We investigate the problem of optimally quantizing the control points which define the blending surfaces. A greedy algorithm is proposed to quantize 3D coordinates representing objects described in VRML. The resulting coding performance is superior to Lempel-Ziv coding algorithm. This book describe practical algorithms based on blending surfaces applied to image coding and enhancement of lossy compressed images.
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About the Author
Prof. Joceli Mayer is with the Department of Electrical Engineering of the University Federal of Santa Catarina UFSC (Brazil) since 1993. He has a B.Eng.,1988 and M.Eng., 1991 in Electrical Engineering from University Federal of Santa Catarina. M.Sc.,1998 and Ph.D.,1999 in Computer Engineering from University of California at Santa Cruz.
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Blending Models for Image Enhancement and Coding
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ISBN 10: 3659817643
ISBN 13: 9783659817649
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -We propose practical algorithms for efficient representation of images. Polynomial blending functions are used for image coding and enhancement. We use this surface model to represent image regions resulting in high perceived quality. We show that the image artifacts originated by quantization can be drastically reduced by using a representation based on blending functions. They are designed to mitigate the quantization noise generated by lossy image coding techniques like JPEG-DCT and JPEG-LS. A new recursive triangular partitioning (RTP) is proposed to represent an image by triangular blending surfaces. Efficient triangular blending models are proposed. The resulting coding algorithm becomes competitive to the state-of-art algorithms based on JPEG-DCT and wavelets. We investigate the problem of optimally quantizing the control points which define the blending surfaces. A greedy algorithm is proposed to quantize 3D coordinates representing objects described in VRML. The resulting coding performance is superior to Lempel-Ziv coding algorithm. This book describe practical algorithms based on blending surfaces applied to image coding and enhancement of lossy compressed images. 164 pp. Englisch. Seller Inventory # 9783659817649
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Blending Models for Image Enhancement and Coding
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ISBN 10: 3659817643
ISBN 13: 9783659817649
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mayer JoceliProf. Joceli Mayer is with the Department of Electrical Engineering of the University Federal of Santa Catarina UFSC (Brazil) since 1993. He has a B.Eng.,1988 and M.Eng., 1991 in Electrical Engineering from University Fed. Seller Inventory # 159145916
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Blending Models for Image Enhancement and Coding
Published by
LAP LAMBERT Academic Publishing Dez 2015, 2015
ISBN 10: 3659817643
ISBN 13: 9783659817649
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -We propose practical algorithms for efficient representation of images. Polynomial blending functions are used for image coding and enhancement. We use this surface model to represent image regions resulting in high perceived quality. We show that the image artifacts originated by quantization can be drastically reduced by using a representation based on blending functions. They are designed to mitigate the quantization noise generated by lossy image coding techniques like JPEG-DCT and JPEG-LS. A new recursive triangular partitioning (RTP) is proposed to represent an image by triangular blending surfaces. Efficient triangular blending models are proposed. The resulting coding algorithm becomes competitive to the state-of-art algorithms based on JPEG-DCT and wavelets. We investigate the problem of optimally quantizing the control points which define the blending surfaces. A greedy algorithm is proposed to quantize 3D coordinates representing objects described in VRML. The resulting coding performance is superior to Lempel-Ziv coding algorithm. This book describe practical algorithms based on blending surfaces applied to image coding and enhancement of lossy compressed images.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 164 pp. Englisch. Seller Inventory # 9783659817649
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Blending Models for Image Enhancement and Coding : Surface representation with polynomial blending functions for enhancement and coding of images and VRML models
Published by
LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659817643
ISBN 13: 9783659817649
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Taschenbuch
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - We propose practical algorithms for efficient representation of images. Polynomial blending functions are used for image coding and enhancement. We use this surface model to represent image regions resulting in high perceived quality. We show that the image artifacts originated by quantization can be drastically reduced by using a representation based on blending functions. They are designed to mitigate the quantization noise generated by lossy image coding techniques like JPEG-DCT and JPEG-LS. A new recursive triangular partitioning (RTP) is proposed to represent an image by triangular blending surfaces. Efficient triangular blending models are proposed. The resulting coding algorithm becomes competitive to the state-of-art algorithms based on JPEG-DCT and wavelets. We investigate the problem of optimally quantizing the control points which define the blending surfaces. A greedy algorithm is proposed to quantize 3D coordinates representing objects described in VRML. The resulting coding performance is superior to Lempel-Ziv coding algorithm. This book describe practical algorithms based on blending surfaces applied to image coding and enhancement of lossy compressed images. Seller Inventory # 9783659817649