首页> 外文会议>International Conference on Computational Science and Its Applications(ICCSA 2004) pt.4; 20040514-20040517; Assisi; IT >Distortion-Free of General Information with Edge Enhanced Error Diffusion Halftoning
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Distortion-Free of General Information with Edge Enhanced Error Diffusion Halftoning

机译:边缘增强型误差扩散半色调,无一般信息失真

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摘要

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:误差扩散方法有利于将图像的连续色调重建为双色调。然而,当分析功率谱的显示误差时,通过误差扩散对边缘信息的重建表现为较弱。在本文中,我们提出了一种边缘增强的误差扩散方法,对原始图像进行预处理,以增强边缘信息。预处理算法包括两个过程。首先,获得当前像素与原始图像中周围像素的局部平均值之间的差值。其次,加权函数由局部平均值的大小和正负号组成。为了确认所提出方法的效果,通过测量各种客观测量标准(包括显示误差的径向平均功率谱密度(RAPSD)),将该方法与标准误差扩散方法和常规边缘增强误差扩散方法进行了比较。比较结果表明,该方法优于传统方法。

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