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This paper demonstrates the possibility of super resolved image reconstruction for images affected by atmospheric turbulence. A lucky region method using bicoherence is proposed to select image tiles with superior quality or Â¿lucky image regionsÂ¿ from a large number of short exposure images. A super resolved image is then reconstructed by a MAP method based on a universal hidden Markov tree model from the lucky regions. Performance is demonstrated with real data.