基于数字图像特征匹配的误差扩散算法研究

Wang Huan, Peng Cao, Fangfang Chen, Luo Wenqiu
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引用次数: 0

摘要

本文提出了一种改进的误差扩散算法,该算法在处理图像边界、轮廓和纹理细节方面优于传统的误差扩散算法。在相同的印刷设备或印刷工艺条件下,可以使印刷图像的轮廓更加清晰,显示效果更好。该算法在原有误差扩散算法的基础上,提取并增强了半色调图像的边缘轮廓和纹理特征,对误差扩散算法进行了优化。结果表明,打印图像在平滑部分和边缘轮廓部分的显示效果匹配最好。
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Research on Error Diffusion Algorithms Based on Digital Image Feature Matching
In this paper, an improved algorithm of error diffusion is provided, which is better than the traditional error diffusion algorithm in processing image boundary, contour and texture details. It can make the outline of printed image more clear and display better under the same print equipment or print-arts conditions. Based on the original error diffusion algorithm, this algorithm extracts and enhances the edge contour and texture feature of halftone images, optimized the error diffusion algorithm. The result has the best matching of the display effect of the printed image in the smooth part and the edge contour part.
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