首页> 外文会议>Annual International Conference on Information System and Artificial Intelligence >Intelligent detection and removing of straight periodic streaks on digital images
【24h】

Intelligent detection and removing of straight periodic streaks on digital images

机译:数字图像上的直周期条纹智能检测和去除

获取原文

摘要

Straight periodic steaks are common negative errors on images, an intelligent method is proposed to test and remove the periodic streaks on digital images. Because of many artificial errors or negative experiment factors, digital images are always contaminated by straight periodic streaks, which will correspondently incur error information on them. By Fast Two Dimensional Fourier Transform, the space spectra from these periodic streaks are discrete and can be test intelligently. After eliminate these frequency ingredient, the periodic streaks disappear after inverse Fourier Transform. The numerical simulation experiment shows that this method is robust in detesting and removing the periodic streaks on digital figures.
机译:直周期牛排是图像上的常见负误差,建议智能方法测试和删除数字图像上的周期性条纹。由于许多人工错误或负实验因素,数字图像始终被直周期条纹污染,这将相应地产生错误信息。通过快速的二维傅立叶变换,来自这些周期性条纹的空间光谱是离散的并且可以智能地测试。消除这些频率成分后,定期条纹在逆傅里叶变换后消失。数值模拟实验表明,该方法在厌恶和去除数字图上的周期性条纹方面是稳健的。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号