Wavelet-based medical image compression with adaptive prediction

Yao Tien Chen, Din Chang Tseng

研究成果: 雜誌貢獻期刊論文同行評審

37 引文 斯高帕斯(Scopus)

摘要

A lossless wavelet-based image compression method with adaptive prediction is proposed. Firstly, we analyze the correlations between wavelet coefficients to identify a proper wavelet basis function, then predictor variables are statistically test to determine which relative wavelet coefficients should be included in the prediction model. At last, prediction differences are encoded by an adaptive arithmetic encoder. Instead of relying on a fixed number of predictors on fixed locations, we proposed the adaptive prediction approach to overcome the multicollinearity problem. The proposed innovative approach integrating correlation analysis for selecting wavelet basis function with predictor variable selection is fully achieving high accuracy of prediction. Experimental results show that the proposed approach indeed achieves a higher compression rate on CT, MRI and ultrasound images comparing with several state-of-the-art methods.

原文???core.languages.en_GB???
頁(從 - 到)1-8
頁數8
期刊Computerized Medical Imaging and Graphics
31
發行號1
DOIs
出版狀態已出版 - 1月 2007

指紋

深入研究「Wavelet-based medical image compression with adaptive prediction」主題。共同形成了獨特的指紋。

引用此