摘要
针对纸病图像采集过程中容易受到光源噪声干扰的问题,在分析了光源噪声特性的基础上,提出基于DCT同态滤波的纸病去噪算法。该算法首先对采集到的纸病图像进行分块,然后对每一图像块取对数,DCT变换,将其变换到频率域,使用高斯同态滤波滤除噪声干扰,最后通过IDCT变换以及取指数操作将其恢复到空间域。实验结果表明,该算法可以有效地去除纸病图像中的各类光源噪声干扰,增强纸病图像区域。
Aiming at the problems of the light-source noise in the process of paper defeats collection,the paper analyzed the characteristics of the light source noise and proposes a de-noising Algorithm based on holomorphic filtering and DCT transform. Firstly,blocking the image;then,taking logarithm operation and DCT transform of each image block and transforming them to frequency domain. Next,Gaussian holomorphic filteringused to remove noise interference. Finally,IDCT transform and exponential operation are used to restore them to the spatial domain. The experimental results showed that the algorithm could effectively remove various kinds of light-source noise and enhance the paper defect area.
作者
曲蕴慧
汤伟
文豪
雷涛
QU Yun-hui;TANG Wei;WEN Hao;LEI Tao(College of Electric and Information Engineering, Shaanxi University of Science ＆ Technology, Xi＇an, Shaanxi Province, 710021;Computer Teaching and Research Section, Xi＇an Medical University, Xi＇an, Shaanxi Province, 710021)
出处
《中国造纸》
CAS
北大核心
2018年第5期45-49,共5页
China Pulp & Paper
基金
陕西省教育厅自然专项(17JK0645)
陕西省科技统筹创新工程计划项目(2012KTCQ01-19)
陕西省重点科技创新团队计划项目(2014KCT-15)
关键词
DCT变换
同态滤波
高斯滤波
频率域
discrete cosine transform （DCT）
holomorphic filtering
gaussian filtering
frequency domain
