Abstract
Several investigations were reported as inverse halftoning. In previous inverse halftoning methods, there are two problems. One is edge blurred when tone of the reconstructed image is smooth. Another one is that reduction of the noise is not sufficient when edge of reconstructed image is emphasized. In this article, Kalman filter is introducted into inverse halftoning to solve these two problems. As a result, the effectiveness of Kalman filter is shown from the viewpoint of noise reduction.
