基于EMD-CLEAN的图像去噪方法

噪声的存在会影响对图像中有用信息的提取。针对经验模态分解(Empirical Mode Decomposition, EMD)方法噪声抑制后图像质量下降的问题，提出了一种基于EMD-CLEAN的图像去噪方法。首先利用EMD对含噪图像进行分析，将其自动分解为一系列本征模函数(Intrinsic Mode Function...

Image Denoising Method Based on EMD-CLEAN

The existence of noise will affect the extraction of useful information from the image. To solve the problem of image quality degradation after empirical mode decomposition (EMD) noise suppression, an image denoising method based on EMD-CLEAN is proposed. Firstly, the noisy image is analyzed by EMD, which is automatically decomposed into a series of local mode functions (IMF), and then the number of high-frequency noisy IMF is automatically determined by information entropy difference, and CLEAN is used Finally, the low-frequency IMF is superimposed with the high-frequency IMF after noise suppression to obtain the reconstructed image. The experimental results of simulation data show that the proposed method can effectively suppress the noise component and retain the details of the image, which has a certain application prospect.