结合局部与非局部的图像复原方法

摘要

In order to recover the details better, this paper proposed a new image restoration method, which combined the lo-cal total variation (LTV) and the nonlocal total variation (NLTV) models.First, it extracted the details accurately from the image.Then, the method applied the NLTV model only on the details, and applied the LTV model only on the residual image components.The proposed method, which used the advantages of both the LTV and NLTV models, could recover the image details better.A large number of experimental results indicate that the proposed method outperforms several recent image resto-ration methods, not only the subjective vision has the betterment obviously, but also the PSNR improves between 0.11 dB and 2.28 dB.%为了更好地复原图像的细节，提出了一种结合局部与非局部的图像复原方法。将图像中的细节准确地提取出来，对提取的细节进行非局部全变差约束，同时对剩下的图像成分进行局部全变差约束。提出的方法很好地结合了非局部全变差和局部全变差的优点，实现了图像细节更好的复原。实验结果表明，提出的方法与近几年的一些较好的图像复原方法相比，不仅主观的视觉效果得到了明显的改进，而且客观的峰值信噪比也增加了0．11～2．28 dB。