引用本文:刘士伟,卢 鹏.基于高斯滤波的扫描图像去网[J].包装工程,2012,33(13):108-111.
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基于高斯滤波的扫描图像去网
刘士伟1,2, 卢 鹏3
1.郑州牧业工程高等专科学校, 郑州 450011;2.上海理工大学, 上海 200093;3.上海理工大学, 上海 200093
摘要:
运用高斯滤波基本理论,通过对RGB图像进行分通道处理,即对R,G,B等3个通道分别进行高斯滤波处理,再经通道合并为彩色图像,并对经过处理后的彩色图像进行锐化处理。用本去网算法与扫描仪自带的去网算法进行了比较,在主观的基础上结合清晰度值,提出的去网算法所达到的效果更好。
关键词:  去网  高斯滤波  锐化
DOI:
分类号:TS801.3
基金项目:河南省重点科技攻关项目(082102250002)
Scanned-Image Discreening Based on Gaussian Filter
LIU Shi-wei1,2, LU Peng3
1.Zhengzhou College of Animal Husbandry Engineering, Zhengzhou 450011, China;2.University of Shanghai for Science and Technology, Shanghai 200093, China;3.University of Shanghai for Science and Technology, Shanghai 200093, China
Abstract:
The basic theory of Gaussian filter was used in the process. RGB image was divided into three channels; R, G, and B channels were processed by Gaussian filter respectively; the processed image was combined to form color image; and the color image was processed through sharpening. The comparison was made based on the objective evaluation and combined with image definition value. The result showed that the discreening method is better than that of the scanner.
Key words:  discreening  Gaussian filter  sharpen

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