罗瑜, 于晓明, 王建文. 基于小波阈值的断层扫描图像去噪细化处理[J]. 微电子学与计算机, 2010, 27(10): 152-155.
引用本文: 罗瑜, 于晓明, 王建文. 基于小波阈值的断层扫描图像去噪细化处理[J]. 微电子学与计算机, 2010, 27(10): 152-155.
LUO Yu, YU Xiao-ming, WANG Jian-wen. Threshold Based on Wavelet Image De-noising and Refining Processing Tomography[J]. Microelectronics & Computer, 2010, 27(10): 152-155.
Citation: LUO Yu, YU Xiao-ming, WANG Jian-wen. Threshold Based on Wavelet Image De-noising and Refining Processing Tomography[J]. Microelectronics & Computer, 2010, 27(10): 152-155.

基于小波阈值的断层扫描图像去噪细化处理

Threshold Based on Wavelet Image De-noising and Refining Processing Tomography

  • 摘要: 针对计算机断层扫描图像 (CT图像) 在成像过程中出现高斯白噪声的现状, 提出了一种改进的小波阀值萎缩去噪方法, 具有良好的时频局部化能力和多分辨率分析能力, 能够克服传统小波阀值去噪时引起重构信号在奇异点领域产生人为震荡, 为医学诊断提供的细节更为丰富、边缘信息更加完善、视觉效果更好的图像.

     

    Abstract: In order to improve the status of white Gaussian noise of computed tomography images (CT images) in the imaging process, it directed an improved wavelet-shrinkage threshold denoising methods with good time-frequency localization and multi-resolution analysis capability.It's able to overcome the man-made shocks caused by singular points in the neighborhood while denoising signal reconstruction in a the traditional wavelet threshold, provide more abundant details of medical diagnosis, better edge information and better visual images.

     

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