关键词: 图像去噪, Perona-Malik模型, 冲击滤波器, 图像边缘增强, 扩散函数

Abstract: A new image denoising model based on impulse filter and Perona-Malik(P-M) model is proposed in this study. The denoising model proposed herein can not only enhance the image details but also restrain the noise amplification and overshoot. Simultaneously, the diffusion function obtained in this study can help the model achieve better image denoising effect. Through a large number of simulation experiments, results show that the image obtained by denoising with the proposed model is superior to those obtained by the P-M model, CLMC model and traditional model in terms of both visual effect and objective evaluation. The proposed model can better preserve the details and edge features of the image while removing the noise.

Key words: image denoising, Perona-Malik model, impulse filter, image edge enhancement, diffusion function