Probabilistic Model-Based Restoration of Short-Exposure Astronomical Images

نویسندگان

  • Michal Haindl
  • Stanislava Šimberová
چکیده

We present a novel multiimage restoration method based on the underlying spatial probabilistic image model for astronomical image restoration if degradation obeys a linear degradation model with the unknown possibly nonhomogeneous point-spread function. The method assumes that for every ideal undegraded unobservable image several degraded observed images are available. Pixels in the vicinity of image steep discontinuities are left unrestored to minimise restoration blurring effect. The degraded image is assumed to follow a causal simultaneous multidimensional regressive model which leads to an adaptive fast recursive restoration filter. The unknown point-spread function is estimated using the local least-square estimate.

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تاریخ انتشار 2004