Restoration of noisy images blurred by a random medium

An image restoration model is given to restore images blurred by a random medium. The overall distortion process caused by the random medium is represented by a stochastic point spread function. To estimate the original images degraded by this model, two restoration algorithms are formulated based on the Wiener filter and the constrained least-squares filter. Computer simulations are included to compare the performances of the proposed algorithms with the conventional ones.<
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