An improved fast encoding algorithm for vector quantization
Journal of the American Society for Information Science and Technology
An improved tree-structured codebook search algorithm for grayscale image compression
Fundamenta Informaticae
Fast VQ codebook search algorithm for grayscale image coding
Image and Vision Computing
Predictive Grayscale Image Coding Scheme Using VQ and BTC
Fundamenta Informaticae
Block Prediction Vector Quantization for Grayscale Image Compression
Fundamenta Informaticae
New Bit Reduction of Vector Quantization Using Block Prediction and Relative Addressing
Fundamenta Informaticae
Wavelet-based copyright-protection scheme for digital images based on local features
Information Sciences: an International Journal
Accelerating VQ-based codeword search on the basis of partial search strategy
Computer Standards & Interfaces
Fast k most similar neighbor classifier for mixed data (tree k-MSN)
Pattern Recognition
ISCIT'09 Proceedings of the 9th international conference on Communications and information technologies
A fast VQ codebook search with initialization and search order
Information Sciences: an International Journal
A new predictive vector quantization method using a smaller codebook
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
New Bit Reduction of Vector Quantization Using Block Prediction and Relative Addressing
Fundamenta Informaticae
Predictive Grayscale Image Coding Scheme Using VQ and BTC
Fundamenta Informaticae
Block Prediction Vector Quantization for Grayscale Image Compression
Fundamenta Informaticae
An Improved Tree-Structured Codebook Search Algorithm for Grayscale Image Compression
Fundamenta Informaticae
Journal of Systems and Software
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The encoding of vector quantization (VQ) needs expensive computation for searching the closest codevector to the input vector. This paper presents several fast encoding algorithms based on multiple triangle inequalities and wavelet transform to overcome this problem. The multiple triangle inequalities confine a search range using the intersection of search areas generated from several control vectors. A systematic way for designing the control vectors is also presented. The wavelet transform combined with the partial distance elimination is used to reduce the computational complexity of the distance calculation of vectors. The proposed algorithms provide the same coding quality as the full search method. The experimental results indicate that the new algorithms perform more efficiently than existing algorithms