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Image Restoration from Corrupted Halftone Image Using the Statistical Mechanical Iterative Method
Yohei Saika,Naoyuki Tahara,Tetsuya Yamasaki 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
In order to reconstruct a grayscale image from a noisy halftone image converted by the dither method, weconstruct a method of image restoration using the ??-filter and the statistical mechanical iterative method due to the Betheapproximation established in statistical physics to approximate the thermodynamics of magnetic materials. Then, usingthe numerical simulation for a 256-level standard image “Lena” with 512??512 pixels, we clarify that our method issuccessful in image restoration more accurately than the conventional filter, if we set the parameters appropriately.
Yohei Saika,Naoyuki Tahara,Tetsuya Yamasaki 제어로봇시스템학회 2008 제어로봇시스템학회 국제학술대회 논문집 Vol.2008 No.10
In order to reconstruct a grayscale image from a noisy corrupted halftone image obtained by the conventional dither method, we construct a method of image restoration using the ε-filter, the discriminant analysis method and the generalized statistical smoothing. Then, using the numerical simulation for a 256-level standard image “enna” we clarify that the present method restores the gray-level image with higher image quality than the conventional method, if we appropriately tune the parameters, and that the edges of the original image are restored by the present method more accurately than other conventional method.