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- W2078129153 abstract "In this paper a novel restoration algorithm based on iterative loops and data mining is proposed to restore the original object image from a few frames of aero-optics degraded images through the turbulence medium. Based on the iterative loops, the iterative mathematic models to estimate the random turbulent optical point spread functions and object image are built. A series of restoration experiments for both simulated and real aero-optics degraded images were performed to examine the proposed algorithm under a computerized simulation environment, which show that the proposed algorithm outperform previous algorithms and therefore is effective for practical applications." @default.
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- W2078129153 date "2007-07-01" @default.
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- W2078129153 title "TURBULENCE DEGRADED IMAGES RESTORATION BASED ON IMPROVED MULTIFRAME ITERATIVE LOOPS AND DATA MINING" @default.
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- W2078129153 doi "https://doi.org/10.1142/s0219467807002799" @default.
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