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» Fast Adaptive Algorithm for Time-Critical Color Quantization...
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DICTA
2003
13 years 6 months ago
Fast Adaptive Algorithm for Time-Critical Color Quantization Application
Color quantization is the process of grouping n data points to k cluster. We proposed a new approach, based on Wu’s color quantization [6]. Our approach can significantly reduce ...
Kiattisin Kanjanawanishkul, Bunyarit Uyyanonvara
ICIP
2009
IEEE
14 years 5 months ago
Effective Initialization Of K-means For Color Quantization
Color quantization is an important operation with many applications in graphics and image processing. Most quantization methods are essentially based on data clustering algorithms...
ICPR
2000
IEEE
13 years 9 months ago
Model-Based Halftoning for Color Image Segmentation
Grouping algorithms based on histograms over measured image features have very successfully been applied to textured image segmentation [2, 11, 6]. However, the competing goals of...
Jan Puzicha, Serge Belongie
ESANN
2007
13 years 6 months ago
Tracking fast changing non-stationary distributions with a topologically adaptive neural network: application to video tracking
In this paper, an original method named GNG-T, extended from GNG-U algorithm by [1] is presented. The method performs continuously vector quantization over a distribution that chan...
Georges Adrian Drumea, Hervé Frezza-Buet
ICIP
1998
IEEE
14 years 6 months ago
Adaptive Wavelet Packet Image Coding using an Estimation-Quantization Framework
In this paper, we extend the statistical model-based Estimation-Quantization (EQ) wavelet image coding algorithm introduced in [?] to include an adaptive transform component. For ...
Kannan Ramchandran, Mehmet Kivanç Mih&ccedi...