Proceedings of the 2001 Asia and South Pacific Design Automation Conference
Subband image segmentation using VQ for content-based image retrieval
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Image coding using transform vector quantization with training set synthesis
Signal Processing - Image and Video Coding beyond Standards
Compressing and Transmitting Visible Human Images
IEEE MultiMedia
Distributed unsupervised learning using the multisoft machine
Information Sciences—Informatics and Computer Science: An International Journal
Object Detection Using the Statistics of Parts
International Journal of Computer Vision
An adaptive incremental LBG for vector quantization
Neural Networks
Best parameter based compression of fingerprints with wavelet packets
International Journal of Computer Applications in Technology
Compression of facial images using the K-SVD algorithm
Journal of Visual Communication and Image Representation
Spatio-chromatic decorrelation for color image compression
Image Communication
A Fast VQ Codebook Generation Algorithm Based on Otsu Histogram Threshold
Fundamenta Informaticae
Medical image compression using topology-preserving neural networks
Engineering Applications of Artificial Intelligence
Image compression using subband wavelet decomposition and DCT-based quantization
MUSP'06 Proceedings of the 6th WSEAS international conference on Multimedia systems & signal processing
A near-lossless image compression algorithm using vector quantization
MMACTEE'06 Proceedings of the 8th WSEAS international conference on Mathematical methods and computational techniques in electrical engineering
A Fast VQ Codebook Generation Algorithm Based on Otsu Histogram Threshold
Fundamenta Informaticae
International Journal of Computer Applications in Technology
Bilevel visual words coding for image classification
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
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Subband and wavelet decompositions are powerful tools in image coding because of their decorrelating effects on image pixels, the concentration of energy in a few coefficients, their multirate/multiresolution framework, and their frequency splitting, which allows for efficient coding matched to the statistics of each frequency band and to the characteristics of the human visual system. Vector quantization (VQ) provides a means of converting the decomposed signal into bits in a manner that takes advantage of remaining inter and intraband correlation as well as of the more flexible partitions of higher dimensional vector spaces. Since 1988, a growing body of research has examined the use of VQ for subband/wavelet transform coefficients. We present a survey of these methods