顾及边缘信息的多尺度误差扩散半色调算法

发布时间：2018-03-17 13:50

本文选题：多尺度　切入点：误差扩散　出处：《包装工程》2017年23期 　论文类型：期刊论文

【摘要】：目的为了解决传统多尺度误差扩散半色调算法会导致半色调结果图像阶调变暗和边缘模糊的问题,提出一种顾及边缘信息的多尺度误差扩散半色调算法。方法根据当前像素邻域内像素点的处理状态,设计动态非时序误差扩散滤波器;利用图像局部平均灰度与空间变化率提取图像边缘信息,结合图像边缘信息与灰度信息确定半色调处理顺序。结果半色调处理结果视觉效果均匀,阶调信息和边缘结构信息与原图像一致性良好,峰值信噪比、加权信噪比和结构相似度分别提高了0.7～1.2 d B,0.9～1.5 d B,0.11～0.18。结论该算法解决了多尺度误差扩散算法的图像阶调变暗和边缘模糊的问题,有效提高了半色调输出质量。
[Abstract]:Aim in order to solve the problem that the traditional multi-scale error diffusion halftone algorithm will lead to the halftone result, the image order dimming and edge blur can be solved. A multi-scale error diffusion halftone algorithm considering edge information is proposed. According to the processing state of pixel points in the current pixel neighborhood, a dynamic non-sequential error diffusion filter is designed. The edge information is extracted by using the local average gray scale and spatial change rate of the image, and the sequence of halftone processing is determined by combining the edge information and the gray level information of the image. The results show that the visual effect of the half-tone processing is uniform. The order information and edge structure information are in good agreement with the original image, the peak signal-to-noise ratio (PSNR), The weighted signal-to-noise ratio (SNR) and structural similarity are increased by 0.7 ~ (1.2) dB ~ (0.9) ~ (1.5) dB ~ (0.110.18) respectively. Conclusion this algorithm solves the problems of image order dimming and edge blur in multi-scale error diffusion algorithm, and effectively improves the halftone output quality.
【作者单位】：武汉大学;
【基金】：国家自然科学基金(61601335) 国家科技支撑计划(2013BAH03B01) 国家测绘地理信息局卫星测绘技术与应用重点实验室经费资助项目(KLSMTA-2016-04) 中国博士后科学基金(2015M582277) 中央高校基本科研业务费专项基金(2042015kf0059)
【分类号】：TP391.41

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