Title | ||
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DEEP (SPR)-P-3: SIMULTANEOUS SOURCE SEPARATION AND PHASE RETRIEVAL USING DEEP GENERATIVE MODELS |
Abstract | ||
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This paper introduces and solves the simultaneous source separation and phase retrieval ((SPR)-P-3) problem. (SPR)-P-3 is an important but largely unsolved problem in a number application domains, including microscopy, wireless communication, and imaging through scattering media, where one has multiple independent coherent sources whose phase is difficult to measure. In general, (SPR)-P-3 is highly under-determined, non-convex, and difficult to solve. In this work, we demonstrate that by restricting the solutions to lie in the range of a deep generative model, we can constrain the search space sufficiently to solve (SPR)-P-3. Code associated with this work is available at https://github.com/computational-imaging/DeepS3PR. An extended version of this work is available at https: //arxiv.org/abs/2002.05856. |
Year | DOI | Venue |
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2021 | 10.1109/ICASSP39728.2021.9413714 | 2021 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP 2021) |
Keywords | DocType | Citations |
Phase Retrieval, Source Separation, Deep Generative Models | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Metzler Christopher A. | 1 | 6 | 0.80 |
Gordon Wetzstein | 2 | 945 | 72.47 |