Abstract

Low-rank constraint improves image quality of ghost imaging, for both correlation and compressive sensing approaches. Image by correlation plus low-rank constraint can even surpass that by compressive sensing when under-sampling. Optimized low-rank parameter is presented.

© 2018 The Author(s)

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