Reconstructing clear images from blurred and noisy ones is a typical ill-posed problem.When the blurring kernel is unknown,reconstructing both the blurring kernel and the im-age is required.Such blind denoising and deblurring problems have attracted widespread attention in academia.Using variational methods,we established a partial differential equa-tion model for the blind denoising and deblurring problem of remote sensing images.Then,combining alternating direction method and finite difference method,we constructed a fully discrete numerical format for solving unknown kernel functions and clear images.Numer-ical experiments were conducted to analyze the effect of parameters on image processing performance and to determine reasonable parameters.Finally,numerical experiments were conducted on several remote sensing images,and the results demonstrated the effectiveness of the model.
关键词
偏微分方程/图像重建/盲去噪去模糊/变分方法
Key words
Partial Differential Equations/Image Reconstruction/Blind Denoising and Deblurring/Variational Methods
维普
万方数据