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Both far-field-based and patch-based (m = 2) algorithms are robust to measurement noise. The effect of noise in reconstructed images can be alleviated by use of a conventional regularization technique. The reconstruction results for (a) the far-field approximation, (b) the patch approximation, and (c) the penalized far-field approximation (α = 100), respectively.
