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Iterative least-squares reconstruction of the Fourier phase of an image from the modulo-2pi phase of its bispectrum

机译:从其双谱的模2pi相位对图像的傅里叶相位进行迭代最小二乘重建

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Abstract: We propose a novel technique for the least-squares reconstruction of the Fourier phase of an image from the modulo-2$pi phase of its bispectrum. The proposed technique unwraps the given bispectral phase and reconstructs the Fourier phase of the image iteratively through alternating projections onto two particular constraint sets: (1) the set of bispectral phase functions that differ from the given modulo-2$pi bispectral phase by only integral multiples of 2$pi at every sample point, and (2) the set of bispectral phase functions that correspond to deterministic signals. We formally define the above sets and their corresponding projection operators. We describe the iterative algorithm in detail, and provide experimental results to demonstrate its performance. !10
机译:摘要:我们提出了一种新技术,用于从其双谱的模2 $ pi相位对图像的傅里叶相位进行最小二乘重建。所提出的技术解开给定的双谱相位,并通过交替投影到两个特定的约束集上来迭代地重建图像的傅立叶相位:(1)与给定的模2 $ pi双谱相位仅相差积分的双谱相位函数集每个采样点2pi的倍数;(2)与确定性信号相对应的双谱相位函数集。我们正式定义以上集合及其对应的投影运算符。我们详细描述了迭代算法,并提供实验结果来证明其性能。 !10

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