首页> 外文会议>International conference on intelligent earth observing and applications >The research and application of image de-noising based on the improved method of wavelet thresholding
【24h】

The research and application of image de-noising based on the improved method of wavelet thresholding

机译:基于基于小波阈值的改进方法的图像去噪研究与应用

获取原文

摘要

This paper introduces the theory and method of image de-noising on wavelet threshold. On the basis of the traditional threshold algorithm, a new improved algorithm which changes the threshold is put forward. And use the MATLAB to achieve the remote sensing image de-noising. Experimental results show that the peak signal noise ratio (PSNR) of the new threshold algorithm has improved significantly than the traditional threshold algorithm and lower mean square error (MSE) significantly in Gaussian noise of remote sensing image de-noising. The de-noising effect is better.
机译:本文介绍了小波阈值上的图像去噪理论和方法。在传统的阈值算法的基础上,提出了一种改变阈值的新改进算法。并使用MATLAB实现遥感图像去噪。实验结果表明,在遥感图像去噪的高斯噪声中,新阈值算法的峰值信号噪声比(PSNR)显着改善了传统的阈值算法和低均线误差(MSE)。去噪效果更好。

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