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We provide a statistical analysis of the ability of digitized continuousshearlet systems to detect objects embedded in white noise. We analyze thepossibility to subsample the shearlet transform and obtain a subset ofsignificantly reduced cardinality that can still yield statistically optimaldetection results.

Detection of Geometric Structures by an Optimally Subsampled Shearlet System in Noisy Digital Images