Remote sensing image amplification method based on self-adaptive mixed diffusion model

The invention discloses a remote sensing image amplification method based on a self-adaptive mixed diffusion model, and belongs to the field of image processing. On the basis of bilinear interpolation, according to pixel value gradient features of an image in flat and edge regions, and by adopting a mixed harmonic model and an improved self-snake model, an image obtained after initial amplification is updated. In the flat region, the isotropous harmonic model plays a main role; and in the edge region, the improved self-snake model having an edge enhancement effect plays the main role, thereby relieving the fuzzy phenomenon of the harmonic model at the edge place, preventing a stiff effect of a conventional self-snake model at the edge place, and reducing sensibility in initial position selection, and achieving higher subjective and objective quality. 本发明公开种基于自适应混合扩散模型的遥感图像放大方法，属于图像处理领域，是在双线性插值的基础上，根据图像在平坦和边缘区域的像素值梯度特征，采用混合调和模型与改进的自蛇模型对初始放大后的图像进行更新。在平坦区域，各向同性的调和模型起主要作用；而在边缘区域，具有边缘增强作用的改进自蛇模型则起主要作用，从而既缓解了调和模型在边