• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>ASME Artificial Neural Networks in Engineering Conference >Wavelet based noise reduction for images with extremely high noise content
【24h】

Wavelet based noise reduction for images with extremely high noise content

机译：基于小波的噪声降低，用于具有极高噪声内容的图像

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Lots of researches have been focused in the denoising of images However, not much satisfactory result have been reported on images with extremely high noise content. The computations needed for processing were also too tremendous for real time applications. A new approach is proposed in this paper for images with noise content as high as power 500 with reasonable amount of computations. Experiments show that the processing results by the proposed approach over the wiener filter are better in the quality of the processed image and also less in computations involved.
机译：许多研究已经专注于图像的去噪，在具有极高噪声含量的图像上报告了令人满意的结果。处理所需的计算对于实时应用也是过于巨大的。本文提出了一种新方法，用于具有高功率500的噪声内容的图像，具有合理的计算。实验表明，通过在维纳滤波器上提出的方法的处理结果在处理图像的质量方面更好，并且在所涉及的计算中也少。

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