摘要
文中首先对方向扩散模型和自蛇模型进行了分析和讨论,在此基础上提出一种去除遥感图像椒盐噪声的PDE扩散模型.该模型通过引入基于ENI的引导扩散函数,自适应的调整模型在遥感图像不同区域的平滑力度,克服了方向扩散模型容易模糊和丢失奇异点,自蛇模型去除椒盐噪声不彻底和容易丢失纹理细节的不足,在有效去除遥感图像椒盐噪声的同时,很好的保持了图像边缘和纹理细节信息.实验结果验证了所提模型的有效性和稳定性.
The paper primarily analyzes and discusses the directional diffusion model and auto - snake model, furthermore, a PDE diffusion model is proposed to remove salt -pepper noise. The model introduces guide diffuse function based on ENI, which adaptively adjust the smooth intensity of the model in different regions. The proposed model overcomes the shortage of directional diffusion model and auto -snake model, can not only efficiently remove salt -pepper noise in remote sensing images, but also simultaneously retain detail information, such as edge and texture. Experimental results illustrate the effective and stability of the proposed model.
出处
《通化师范学院学报》
2013年第10期1-5,共5页
Journal of Tonghua Normal University
关键词
遥感图像
椒盐噪声
PDE
方向扩散模型
自蛇模型
remote sensing image
salt -pepper noise
PDE
directional diffusion model
auto -snake model
