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改进的预处理共轭梯度图像复原算法

Keywords: 图像复原,Tikhonov正则化,预处理共轭梯度

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Abstract:

针对Tikhonov正则化的预处理共轭梯度图像复原算法中模糊图像取全零扩展矩阵的不足之处,研究了零边界条件下Tikhonov正则化的预处理共轭梯度算法.提出了新的模糊图像的扩展矩阵,降低了原矩阵向量积的计算误差,修正了初始梯度的取值.改进算法更符合真实的图像退化过程,有效提高了复原的图像质量.实验结果表明:对于各种退化造成的模糊图像,与当前求解全变分正则化的IST、TwIST、SALSA算法比较,本文算法复原效果优于当前流行的图像复原算法.

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