基于非线性复扩散和小波的图像去噪方法

基于偏微分方程和小波的图像去噪方法是目前图像处理的两大发展主流。提出了一种非线性复扩散和小波相结合的图像去噪方法。首先,根据小波变换的特性,把图像分成低频分量和高频分量两部分,然后根据这两部分图像的不同特点,结合非线性复扩散方法对图像去噪,最后把两部分图像融合成一幅图像。实验结果表明了方法无论是客观标准还是视觉效果上都优于非线性复扩散。

Image Denoising Method Based on Nonlinear Complex Diffusion and Wavelet

PDE （ Partial Differential Equation） and wavelet- based image denoising algorithms are two popular methods in image applications. This paper proposes a new image denoising method combining these two methods. First, the wavelet transform is used to divide the image into high frequencies and low frequencies, and then, according to there different characteristics,using the nonlinear complex diffusion method to denoise the observed image ,finally the two images are fused into a single image. Experiment results show that the new method performs well both from the common used objective standards and from visual.