Vector quantization and signal compression
Vector quantization and signal compression
Equal-average hyperplane partitioning method for vector quantization of image data
Pattern Recognition Letters
An Anomaly Intrusion Detection System Based on Vector Quantization
IEICE - Transactions on Information and Systems
Hadamard transform based fast codeword search algorithm for high-dimensional VQ encoding
Information Sciences: an International Journal
A greedy tree growing algorithm for the design of variable ratevector quantizers [image compression]
IEEE Transactions on Signal Processing
Face detection using quantized skin color regions merging andwavelet packet analysis
IEEE Transactions on Multimedia
Entropy-constrained tree-structured vector quantizer design
IEEE Transactions on Image Processing
A virtual image cryptosystem based upon vector quantization
IEEE Transactions on Image Processing
Variable-length constrained-storage tree-structured vector quantization
IEEE Transactions on Image Processing
Distortion-rate models for entropy-coded lattice vector quantization
IEEE Transactions on Image Processing
A fast search algorithm for vector quantization using L2-norm pyramid of codewords
IEEE Transactions on Image Processing
Pyramidal lattice vector quantization for multiscale image coding
IEEE Transactions on Image Processing
Fast VQ encoding by an efficient kick-out condition
IEEE Transactions on Circuits and Systems for Video Technology
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Vector quantization (VQ) for image compression requires expensive time to find the closest codevector in the encoding process. In this paper, a fast search algorithm is proposed for projection pyramid vector quantization using a lighter modified distortion with Hadamard transform of the vector. The algorithm uses projection pyramids of the vectors and codevectors after applying Hadamard transform and one elimination criterion based on deviation characteristic values in the Hadamard transform domain to eliminate unlikely codevectors. Experimental results are presented on image block data. These results confirm the effectiveness of the proposed algorithm with the same quality of the image as the full search algorithm.