A PCA-wavelet based compression for distance learning images

Authors:
Zong Min Wang;Qing Fu Fang;Bing Zhou;Qin Li
Affiliations:
Henan Provincial Key Lab on Information Network, Zhengzhou University, Zhengzhou, China;Logistics Group Ltd, Zhengzhou University, Zhengzhou, China;Henan Provincial Key Lab on Information Network, Zhengzhou University, Zhengzhou, China;Henan Provincial Key Lab on Information Network, Zhengzhou University, Zhengzhou, China
Venue:
MUSP'06 Proceedings of the 6th WSEAS international conference on Multimedia systems & signal processing
Year:
2006

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Abstract

The large volume of images used in Distance Learning System are required to be compressed in a good ratio to release the storage loading of computer servers. A new image coding Scheme based on Principle Components Analysis (PCA) and Wavelet decomposition is proposed in this paper. Our algorithm includes 1) Principle Components Analysis (PCA) to reduce the information redundancies along temporal dimension; 2) a texture energy (TE) based technique used to optimize the PCA analysis; 3) Wavelet decomposition and optimized LBG algorithm for compression along spatial dimention. The experimental results demonstrate that our proposed coding scheme achieves good performance.