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6. Improving Blind Equalization Algorithm for Wireless Communication Systems

Author

Liu Xuhong, Kuang Guijuan, Yi Xiu, and Liu Fuheng

Subjects
business.industry, Computer science, Image quality, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Wavelet transform, Pattern recognition, Data_CODINGANDINFORMATIONTHEORY, Iterative reconstruction, Image (mathematics), Wavelet, Distortion, Human visual system model, Computer vision, Artificial intelligence, Enhanced Data Rates for GSM Evolution, business, Algorithm
Abstract

This paper presents an improved embedded zerotree wavelet (EZW) coding algorithm. According to the characteristic of coefficients and human visual system (HVS), an attempt is made to improve Shapiro's EZW algorithm. The improved algorithm pays more attention to the edge of one image because human visual system is sensitive to the distortion of image edge information. Experiments results show that the improved algorithm performs better than EZW in reconstruction image quality, especially in the case of low rate.

Published
2007

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