Image Compression Based on Hierarchical Clustering Vector Quantization

Shi Wang; Long Ye; Wei Zhong; Qin Zhang

doi:10.1007/978-3-642-35286-7_16

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Image Compression Based on Hierarchical Clustering Vector Quantization

Shi Wang Long Ye Wei Zhong Qin Zhang

Year: 2012 Communications in computer and information science Pages: 120-128 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-642-35286-7_16

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Keywords:

Codebook Vector quantization Linde–Buzo–Gray algorithm Lossy compression Image compression Cluster analysis Pattern recognition (psychology) Computer science Artificial intelligence Data compression Fuzzy clustering Quantization (signal processing) Hierarchical clustering Image (mathematics) Algorithm Image processing

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Advanced Data Compression Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Compression Based on Hierarchical Clustering Vector Quantization

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