Blending Models for Image Enhancement and Coding: Surface representation with polynomial blending functions for enhancement and coding of images and VRML models - Couverture souple

Mayer, Joceli

 
9783659817649: Blending Models for Image Enhancement and Coding: Surface representation with polynomial blending functions for enhancement and coding of images and VRML models
Couverture souple
ISBN 10 : 3659817643 ISBN 13 : 9783659817649
Editeur : LAP LAMBERT Academic Publishing, 2015

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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Présentation de l'éditeur

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.

Biographie de l'auteur

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2015
Langue
anglais
ISBN 10 
3659817643
ISBN 13 
9783659817649
Reliure
Broché
Nombre de pages
164
Coordonnées du fabricant
non disponible
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