抑制寄生波纹的超分辨率图像复原

Suppressing of Artifacts in Super-Resolution Image Reconstruction

分析了超分辨率图像复原中寄生波纹产生的原因及其对图像不同区域的影响情况,提出了一种能够抑制寄生波纹、自适应的正则化参数计算方法,并在此基础上构建了自适应的正则化函数,形成了一种抑制寄生波纹的新方法。实验结果表明,本文方法在抑制寄生波纹的效果上明显优于Lee方法。

In super-resolution image reconstruction, the errors of point-spread-function estimation and the inaccurate registration will lead to different artifacts in the reconstructed image and influence the image quality. The cause of artifacts and its influence on different image regions are analyzed. On this basis, the adaptive regularized function has been constructed and the calculation method of adaptive regularized parameters which can suppress artifacts has been giver, Thus,we proposed a new approach to suppress artifacts. Experiments results show the proposed approach is better than Lee＇s method in artifacts suppression.