利用阈值调制改善变系数误差扩散的中音质量

Bingfeng Zhou, X. Fang
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引用次数: 54

摘要

在本文中,我们描述了使用阈值调制来去除包含在变系数误差扩散算法中的视觉伪影。为了获得适合阈值调制的参数集,设计了用于搜索最优参数的代价函数。得到了最优扩散参数集以及相应的阈值调制强度值。实验表明,与原有的变系数误差扩散算法相比,阈值调制能更有效地去除视觉异常。新算法的结果是在全强度范围内无伪影半调。实验结果的傅里叶分析进一步支持了这一结论。
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Improving mid-tone quality of variable-coefficient error diffusion using threshold modulation
In this paper, we describe the use of threshold modulation to remove the visual artifacts contained in the variable-coefficient error-diffusion algorithm. To obtain a suitable parameter set for the threshold modulation, a cost function used for the search of optimal parameters is designed. An optimal diffusion parameter set, as well as the corresponding threshold modulation strength values, is thus obtained. Experiments over this new set of parameters show that, compared with the original variable-coefficient error-diffusion algorithm, threshold modulation can remove visual anomalies more effectively. The result of the new algorithm is an artifact-free halftoning in the full range of intensities. Fourier analysis of the experimental results further support this conclusion.
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Session details: Modeling and simplification Session details: Points Session details: Shadows Session details: Character animation Session details: Design and depiction
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