首页> 外文会议>International Conference on Information Science and Engineering >Image Denoising Method Based on Nonsubsampled Contourlet Transform and Bandelet Transform
【24h】

Image Denoising Method Based on Nonsubsampled Contourlet Transform and Bandelet Transform

机译:基于非管制型轮廓变换和Bandelet变换的图像去噪方法

获取原文

摘要

The wavelet transform used in the second generation bandelet transform cannot capture singularities well, so we replace wavelet transform with nonsubsampled contourlet transform, then we get a new image denoising method base on nonsubsampled contourlet transform and bandelet transform. Numerical test applied on standard images which were contaminated with additive Gaussian white noise show that our method can significantly outperform nonsubsampled contourlet transform and bandelet transform in visual quality, and the PSNR is also increased by more than 0.4 dB.
机译:第二代Bandelet变换中使用的小波变换井不能很好地捕获奇点,所以我们用非管制的轮廓变换替换小波变换,然后我们在非比喻轮廓架变换和Bandelet变换上获得新的图像去噪方法。 用添加剂高斯白噪声污染的标准图像上应用的数值试验表明,我们的方法可以显着优异地优于视觉质量的非笨蛋的轮廓变换和Bandelet变换,并且PSNR也增加了0.4dB。

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