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In image restoration, the degradation of an image is commonly modeled as the combined effect of a deterministic degradation function and a random noise process. Estimation of noise parameters is therefore a crucial step, because accurate knowledge of the noise statistics allows the restoration filter to be optimally designed. Noise parameters are generally estimated from the observed degraded image itself or from calibration data. One common _____ ____ _____ ________ ___ ________ _________ ________ ________ ______ _____.
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