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Image restoration of the gray scale image from binary image using Kalman filter

机译:使用卡尔曼滤波器从二进制图像中恢复灰度图像的图像

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摘要

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.
机译:据报道有几项研究是反半色调。在先前的逆半色调方法中,存在两个问题。一种是当重建图像的色调平滑时边缘模糊。另一个是当强调重建图像的边缘时,降低噪声是不够的。本文将卡尔曼滤波器引入逆半色调以解决这两个问题。结果,从降噪的角度显示了卡尔曼滤波器的有效性。

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