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» Logic minimization based approach for compressing image data
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IVC
2007
94views more  IVC 2007»
14 years 11 months ago
Vector quantization and fuzzy ranks for image reconstruction
The problem of clustering is often addressed with techniques based on a Voronoi partition of the data space. Vector quantization is based on a similar principle, but it is a diffe...
Stefano Rovetta, Francesco Masulli
CATA
2001
15 years 1 months ago
Object-oriented image database model
: In this paper we analyze some existing tools and approaches to image data modeling and we propose an Object-Oriented Image Data (OOID) model. It can be applied on a wide variety ...
William I. Grosky, Peter L. Stanchev
91
Voted
ICIP
2001
IEEE
16 years 1 months ago
Minimum discrimination information clustering: modeling and quantization with Gauss mixtures
Gauss mixtures have gained popularity in statistics and statistical signal processing applications for a variety of reasons, including their ability to well approximatea large cla...
Robert M. Gray, John C. Young, Anuradha K. Aiyer
ICIP
1998
IEEE
16 years 1 months ago
Invariant-based Data Model for Image Databases
We describe a new invariant-based data model for image databases under our approach for shape-based retrieval. The data model relies on contours description of the image shape, an...
Michael Kliot, Ehud Rivlin
71
Voted
ICANN
2005
Springer
15 years 5 months ago
Accurate and Robust Image Superresolution by Neural Processing of Local Image Representations
Image superresolution involves the processing of an image sequence to generate a still image with higher resolution. Classical approaches, such as bayesian MAP methods, require ite...
Carlos Miravet, Francisco de Borja Rodrígue...