Medical Image Denoising Using Neighboring Coefficients Preservation

被引:0
|
作者
Yang, Ying [1 ]
Wei, Yusen [1 ]
Yang, Ming [2 ]
机构
[1] Xian Univ Technol, Dept Elect Engn, Xian, Peoples R China
[2] ZTE R&D Ctr, Project Management Dept 1, Xian, Peoples R China
基金
中国国家自然科学基金;
关键词
Wavelet transform; Neighboring coefficients; Medical images;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The artifacts arising from the imaging devices decrease the accuracy of medical diagnosis. In order to decrease the effect of artifacts, the neighboring coefficients preservation scheme is extended to remove the noise in the medical images. If the magnitude of a coefficient is larger than the threshold, all its neighboring coefficients will be preserved in the thresholding denoising in our studies. Every coefficient is properly processed by considering its neighboring characteristics so that the performance of image denoising can be effectively improved. Several denoising methods were used to compare with our method. The numerical results and visual perceptions illustrated that our method was superior to the conventional thresholding denoising methods and could be effectively used for different medical images denoising.
引用
收藏
页码:149 / 154
页数:6
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