Statistical image restoration based on adaptive wavelet models
نویسندگان
چکیده
In this paper, we propose image restoration algorithms based on adaptive wavelet–domain statistical models. We present a method to estimate the model parameters from the observations, and solve the restoration problem in orthonormal and translation-invariant wavelet domains. Substantial improvements over previous wavelet–based restoration methods are obtained. The use of a translation-invariant basis further enhances the restoration performance.
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