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Abstract #0074

Parameter-Free Compressed Sensing Reconstruction Using Statistical Non-Local Self-Similarity Filtering

Mariya Doneva1, Tim Nielsen1, Peter Brnert1

1Philips Research Europe, Hamburg, Germany

In this work, we present a CS reconstruction based on statistical non-local self-similarity filtering (STAINLeSS). The method provides improved image quality compared to wavelet based CS reconstruction and does not require any parameter adjustments. All the parameters are automatically determined by the noise estimation in the receive channels obtained from a standard noise measurement.