Diffusion model of wavelet modulus maximum
一种小波变换模极大值的扩散模型

The noise analysis evaluation and filtering of remote sensing image have always been an important research field.In recent years,nonlinear diffusion model based image de-noising have received considerable attention in the field of remote sensing image application since the model can efficiently remove noises in remote sensed images,while well preserving the texture information.The paper proposes a new nonlinear diffusion model by introducing wavelet modulus maximum into the diffusion model and gives a discrete scheme.Our model removes the noise better than P-M model. Meanwhile,the proposed model overcomes the shortage of ALM model that tend to bluring and losing singular point. Our model can not only efficiently remove noise in remote sensing images,but also simultaneously retain detail information, such as edge and texture.Experimental results illustrate the effectiveness and stability of the proposed model.