面向图像复原问题,提出一种非局部的全变差图像复原方法.该方法将传统的全变差模型拓展为非局部变差模型,充分利用非局部子块对结构的保持作用,进一步提高复原图像的质量.此外,为了解决上述的非局部全变差模型,引入算子运算简化目标函数,再利用迭代的Splitting算法对其进行交替求解,提高收敛精度.实验结果表明,此算法在视觉效果和客观评价指标两方面均优于传统算法.
参考文献
| [1] | 邵慧;汪建业;徐鹏;FDS团队.基于Huber正则化二阶加速Richardson-Lucy湍流图像复原算法[J].量子电子学报,2012(6):657-664. |
| [2] | 傅初黎;李洪芳;熊向团.不适定问题的迭代Tikhonov正则化方法[J].计算数学,2006(3):237-246. |
| [3] | 张向荣;阳春;焦李成.基于Laplacian正则化最小二乘的半监督SAR目标识别[J].软件学报,2010(4):586-596. |
| [4] | Paris Sylvain;Durand Fredo.A fast approximation of the bilateral filter.using a signal processing approach[A].,2006:568-580. |
| [5] | 肖宿;韩国强.基于稀疏正则优化的图像复原算法[J].计算机应用,2012(1):261-263. |
| [6] | Rudin L I;Osher S;Fatimi E.Nonlinear total variation based noise removal algorithms[J].PHYSICA D,199260(1-4):259-268. |
| [7] | Michailovich, O. V..An Iterative Shrinkage Approach to Total-Variation Image Restoration[J].IEEE Transactions on Image Processing,20115(5):1281-1299. |
| [8] | Liu Gang;Huang Tingzhu;Liu Jun.High-order TVL1-based images restoration and spatially adapted regularization parameter selection[J].Computers & Mathematics with Applications,201467(10):2015-2026. |
| [9] | Buades A;Coll B;Morel J M.A nonlocal algorithm for image denoising[J].Computer Vision and Pattern Recognition,20052:60-65. |
| [10] | Dong Weisheng;Shi Guangming;Li Xin.Nonlocal image restoration with bilateral variance estimation:A low-rank approach[J].IEEE Transactions on Image Processing,201322(2):700-711. |
| [11] | Combettes P L;Wajs V R.Signal recovery by proximal forward-backward splitting[J].Multiscale Modeling and Simulation,20054(4):1168-1200. |
| [12] | Beck, A.;Teboulle, M..Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring Problems[J].IEEE Transactions on Image Processing,200911(11):2419-2434. |
上一张
下一张
上一张
下一张
计量
- 下载量()
- 访问量()
文章评分
- 您的评分：
-
10%
-
20%
-
30%
-
40%
-
50%