A stable direct algorithm for image retrieval from its noisy Fourier transform phase

I.V. Lyuboshenko, A. M. Akhmetshin
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Abstract

Owing to the essentially ill-posed nature of the problem of restoration of finite signals and images from their Fourier transform phases, the error in the phase results in large undesired fluctuations in the solution, obtained both by known iterative and direct approaches. The problem of restoration of images from their noisy Fourier transform phases is addressed in relation to the existing solution methods. A new regularizing algorithm is proposed that significantly improves the estimate of an image restored from its noisy phase.
一种稳定的直接从噪声傅里叶变换阶段提取图像的算法
由于从其傅立叶变换相位恢复有限信号和图像的问题本质上的病态性质,相位中的误差导致通过已知的迭代方法和直接方法获得的解存在较大的不希望的波动。在现有的求解方法的基础上,讨论了从噪声傅里叶变换相位中恢复图像的问题。提出了一种新的正则化算法,显著提高了噪声相位恢复图像的估计精度。
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