Entropy-constrained learning vector quantization algorithms and their application in image compression

1997 ◽  
Author(s):  
Nicolaos B. Karayiannis
Keyword(s):  
Image Compression ◽  
Vector Quantization ◽  
Learning Vector Quantization ◽  
Constrained Learning

CONSTRAINED LEARNING VECTOR QUANTIZATION

1994 ◽  
Vol 05 (02) ◽  
pp. 143-152
Author(s):  
HONG YAN
Keyword(s):  
Vector Quantization ◽  
Nearest Neighbor ◽  
Recognition Performance ◽  
Recognition Rate ◽  
Learning Vector Quantization ◽  
Training Time ◽  
Training Samples ◽  
Constrained Learning ◽  
Neighbor Classifier ◽  
Selection Of

Kohonen’s learning vector quantization (LVQ) is an efficient neural network based technique for pattern recognition. The performance of the method depends on proper selection of the learning parameters. Over-training may cause a degradation in recognition rate of the final classifier. In this paper we introduce constrained learning vector quantization (CLVQ). In this method the updated coefficients in each iteration are accepted only if the recognition performance of the classifier after updating is not decreased for the training samples compared with that before updating, a constraint widely used in many prototype editing procedures to simplify and optimize a nearest neighbor classifier (NNC). An efficient computer algorithm is developed to implement this constraint. The method is verified with experimental results. It is shown that CLVQ outperforms and may even require much less training time than LVQ.

Improved batch fuzzy learning vector quantization for image compression

2008 ◽  
Vol 178 (20) ◽  
pp. 3895-3907 ◽  
Author(s):  
George E. Tsekouras ◽  
Mamalis Antonios ◽  
Christos Anagnostopoulos ◽  
Damianos Gavalas ◽  
Dafne Economou
Keyword(s):  
Image Compression ◽  
Vector Quantization ◽  
Learning Vector Quantization ◽  
Fuzzy Learning

Image Compression Using Vector Quantization with Variable Block Size Division

2010 ◽  
Vol 130 (8) ◽  
pp. 1431-1439 ◽  
Author(s):  
Hiroki Matsumoto ◽  
Fumito Kichikawa ◽  
Kazuya Sasazaki ◽  
Junji Maeda ◽  
Yukinori Suzuki
Keyword(s):  
Image Compression ◽  
Vector Quantization ◽  
Block Size ◽  
Variable Block
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