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» Vector quantisation based image enhancement
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ICPR
2002
IEEE
14 years 6 months ago
Incorporating Conditional Independence Assumption with Support Vector Machines to Enhance Handwritten Character Segmentation Per
Learning Bayesian Belief Networks (BBN) from corpora and incorporating the extracted inferring knowledge with a Support Vector Machines (SVM) classifier has been applied to charac...
Manolis Maragoudakis, Ergina Kavallieratou, Nikos ...
IVC
2007
94views more  IVC 2007»
13 years 5 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
CCECE
2006
IEEE
13 years 11 months ago
Vector Concepts-Based Spectral Modelling
This paper presents a unique spectral modelling approach suitable for digital camera image processing. The proposed vector model combines both the magnitude and directional charac...
Rastislav Lukac, Konstantinos N. Plataniotis
PRL
2006
96views more  PRL 2006»
13 years 5 months ago
Fast codebook search algorithms based on tree-structured vector quantization
Tree-Structured Vector Quantization (TSVQ) is a highly efficient technique for locating an appropriate codeword for each input vector. The algorithm does not guarantee that the sel...
Chin-Chen Chang, Yu-Chiang Li, Jun-Bin Yeh
MMM
2011
Springer
234views Multimedia» more  MMM 2011»
12 years 9 months ago
Image Super-Resolution by Vectorizing Edges
As the resolution of output device increases, the demand of high resolution contents has become more eagerly. Therefore, the image superresolution algorithms become more important....
Chia-Jung Hung, Chun-Kai Huang, Bing-Yu Chen