Image restoration from corrupted halftone image using the statistical mechanical iterative method
Yôhei Saika, Naoyuki Tahara, Tetsuya Yamasaki · 2009 ICCAS-SICE · 2009
In order to reconstruct a grayscale image from a noisy halftone image converted by the dither method, we construct a method of image restoration using the ɛ-filter and the statistical mechanical iterative method due to the Bethe approximation established in statistical physics to approximate the thermodynamics of magnetic materials. Then, using the numerical simulation for a 256-level standard image “Lena” with 512 × 512 pixels, we clarify that our method is successful in image restoration more accurately than the conventional filter, if we set the parameters appropriately.