Vector quantization and signal compression
Vector quantization and signal compression
Artificial convolution neural network for medical image pattern recognition
Neural Networks - Special issue: automatic target recognition
Image Compression Using Fast Transformed Vector Quantization
AIPR '00 Proceedings of the 29th Applied Imagery Pattern Recognition Workshop
An Anomaly Intrusion Detection System Based on Vector Quantization
IEICE - Transactions on Information and Systems
A fast VQ codebook generation algorithm using codeword displacement
Pattern Recognition
An Efficient Fast Algorithm to Generate Codebook for Vector Quantization
ICETET '08 Proceedings of the 2008 First International Conference on Emerging Trends in Engineering and Technology
Fast codebook search algorithm for vector quantization using sorting technique
Proceedings of the International Conference on Advances in Computing, Communication and Control
Proceedings of the International Conference on Advances in Computing, Communication and Control
Face detection using quantized skin color regions merging andwavelet packet analysis
IEEE Transactions on Multimedia
Lossless compression of VQ index with search-order coding
IEEE Transactions on Image Processing
An efficient encoding algorithm for vector quantization based on subvector technique
IEEE Transactions on Image Processing
Fast Planar-Oriented Ripple Search Algorithm for Hyperspace VQ Codebook
IEEE Transactions on Image Processing
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Vector Quantization is a technique of compressing data based on grouping blocks having similar data. These blocks are called Code Vectors and all the code vectors grouped together is called a Codebook. The key to VQ data compression is a good codebook. In order to reduce bandwidth overhead it is necessary to generate Global Codebook for a particular class of images. Otherwise local codebook has to be transferred every time before the transmission of image. In this paper various global codebook generation algorithms for vector quantization for color images are presented.