ISBN: 9783659817649 - blending models for image enhancement and coding: surface representation with polynomial blending functions for enhancement and coding of images and vrml models (5 resultados)

Taschenbuch. Condición: Neu. Blending Models for Image Enhancement and Coding | Surface representation with polynomial blending functions for enhancement and coding of images and VRML models | Joceli Mayer | Taschenbuch | 164 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659817649 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

Taschenbuch. Condición: 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.…

Taschenbuch. Condición: 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.…

Condición: 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.…

Taschenbuch. Condición: 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.…