Application of multiframe iterative blind deconvolution for diverse astronomical imaging

Computer Science – Performance

Scientific paper

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Scientific paper

We present applications of a recently developed iterative blind deconvolution algorithm to both simulated and real data. The applications demonstrate the algorithm's performance for a wide range of astronomical imaging. We demonstrate the effectiveness of using multiple observations of the same object convolved with different point spread functions. We also show the extension of the algorithm to phase retrieval when the object Fourier amplitude is available.

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