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Distortion-Free of General Information with Edge Enhanced Error Diffusion Halftoning

机译:无扭曲的一般信息,边缘增强误差扩散半色调

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The error diffusion method is good for reconstructing continuous tones of an image to bilevel tones. However, the reconstruction of edge information by the error diffusion is represented as weak when the power spectrum is analyzed for display error. In this paper, we present an edge enhanced error diffusion method to preprocess original images to achieve an enhancement for the edge information. The preprocessing algorithm consists of two processes. First, the value of difference between the current pixel and the local average of surrounding pixels in the original image is obtained. Second, weighting function is composed by the magnitude and the sign of the local average. To confirm the effect of proposed method, the method is compared with the standard error diffusion and conventional edge enhanced error diffusion methods by measuring various objective measuring criteria including the radially averaged power spectrum density (RAPSD) for display error. The results of comparison demonstrate the superiority of the proposed method over the conventional ones.
机译:误差扩散方法是良好的重建图像的连续色调到二层音调。然而,当功率谱分析显示错误的由错误扩散边缘信息重建被表示为弱。在本文中,我们提出了一种边缘增强的误差扩散方法来预处理原始图像,以实现边缘信息的增强。预处理算法由两个过程组成的。首先,获得当前像素和周围像素的原始图像中的局部平均值之间差的值。其次,加权函数是由大小和局部平均的符号组成。为了确认提出的方法的效果,该方法与标准误差扩散比较和传统的边缘通过测量多种客观测量标准,包括用于显示错误径向平均功率谱密度(RAPSD)增强的错误扩散方法。比较的结果表明,在以往所提出的方法的优越性。

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