Abstract

Sparsity priors improve the condition of ill-posed or undersampled inverse problems. I will discuss how this principle applies to phase retrieval and discuss examples from digital holography, transport of intensity, phase-space tomography, and ptychography. Article not available.

© 2015 OSA

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