2020
DOI: 10.1109/access.2020.3021178
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Class-Specific Interferometric Phase Estimation Using Patch-Based Importance Sampling

Abstract: Interferometric phase (InPhase) estimation, that is, the denoising of modulo-2π phase images from sinusoidal 2π-periodic and noisy observations, is a challenging inverse problem with wide applications in many coherent imaging techniques. This paper introduces a novel approach to InPhase restoration based on an external data set and importance sampling. In the proposed method, a class-specific data set of clean patches is clustered using a mixture of circular symmetric Gaussian (csMoG) distributions. For each n… Show more

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