摘要
研究了一种基于Contourlet变换的红外图像去噪技术。在Contourlet域中使用硬阈值函数对Con-tourlet变换后的系数进行处理,经反变换即可得到较好的去噪图像。实验结果表明:与传统的小波阈值去噪方法相比,该方法能够更有效地保留红外图像的细节和纹理,具有更好的视觉效果和较优的信噪比。
A denoising method of infrared image based on Contourlet transforin is presented. In selecting the hard threshold function to process the coefficients in the Contourlet domain, the denoised image of superior quality via inverse transforIning can be thereby obtained. The result of the experiment indicates that compared with the traditional algorithms of the wavelet,this method can preserve the detail and the texture more effectively,and has better image effect and the SNR value.
出处
《传感器与微系统》
CSCD
北大核心
2008年第3期37-38,42,共3页
Transducer and Microsystem Technologies
