基于二维S变换算法的图像去噪研究

摘要

The image denoising technique is widely used in many fields like aerospace,geological survey,biomedical and sensing communication.First of all,the principle of the two-dimensional S-transform is introduced,then the two dimensional S-transform coefficients are calculated by Fourier spectrum to obtain the spatial information of the two dimensional signal,finally the algorithm is used in image denoising.The simulation experiments analyzed and compared the denoising effect of the S-transform,wavelet,median filtering,average filtering and contourlet transform algorithm,the results show that the denoising effect of the S-transform is significant.%图像去噪技术在航空航天、生物医疗、遥感通信、地质勘察等多个领域应用广泛.首先介绍了二维S变换算法的原理,然后通过傅立叶频谱计算二维信号的空间信息,最后将该算法用于图像去噪.仿真实验对比分析了S变换、小波、中值滤波、均值滤波和轮廓波变换算法的图像去噪效果,结果表明S变换算法在图像去噪中效果显著.