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» Multiresolution compression and reconstruction
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ICIP
2005
IEEE
14 years 9 months ago
Interleaved S+P pyramidal decomposition with refined prediction model
Scalability and others functionalities such as the Region of Interest encoding become essential properties of an efficient image coding scheme. Within the framework of lossless co...
Joseph Ronsin, Marie Babel, Olivier Déforge...
ICIP
2001
IEEE
14 years 9 months ago
Progressive fractal coding
Progressive coding is an important feature of compression schemes. Wavelet coders are well suited for this purpose because the wavelet coefficients can be naturally ordered accord...
Iv An Kopilovic, Dietmar Saupe, Raouf Hamzaoui
ICIP
2000
IEEE
14 years 9 months ago
The Geometry-Image Representation Tradeoff for Rendering
It is generally recognized that 3-D models are compact representations for rendering. While pure image-based rendering techniques are capable of producing highly photorealistic ou...
Sing Bing Kang, Richard Szeliski, P. Anandan
ICMCS
2006
IEEE
147views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Color Data Coding for Three-Dimensional Mesh Models Considering Connectivity and Geometry Information
In this paper, we propose a new predictive coding scheme for color data of three-dimensional (3-D) mesh models. We exploit connectivity and geometry information to improve coding ...
Young-Suk Yoon, Sung-Yeol Kim, Yo-Sung Ho
NIPS
1992
13 years 8 months ago
A Note on Learning Vector Quantization
Vector Quantization is useful for data compression. Competitive Learning which minimizes reconstruction error is an appropriate algorithm for vector quantization of unlabelled dat...
Virginia R. de Sa, Dana H. Ballard