图像恢复的小波域加速Landweber迭代阈值方法

Accelerated Landweber Iterative Thresholding Algorithm in Wavelet Domain for Image Restoration

该文利用对忠诚项的二次逼近方法,提出了一种小波域加速Landweber迭代阈值算法。该算法的每次迭代是对前两次迭代结果的线性组合做阈值处理。与标准的迭代阈值算法相比,该方法收敛速度更快。由于参数的可选择性,新算法更有灵活性。数值实验表明新算法能够有效地提高恢复图像的质量,是一种行之有效的图像恢复方法。

An accelerated Landweber iterative thresholding algorithm in wavelet domain is proposed by using quadratic approximation of the fidelity term.In this algprithm,each iterate depends on a linear combination of the previous two iterates.Comparing with the standard iterative thresholding algorithm,the proposed algorithm is more effective and more flexible due to the alternatives of parameter.The numerical experiments show that the algorithm can improve the quality of the restored image effectively.