首页> 外文会议>2012 IEEE Fifth International Conference on Advanced Computational Intelligence. >A new wavelet hard threshold to process image with strong Gaussian Noise
【24h】

A new wavelet hard threshold to process image with strong Gaussian Noise

机译:一种新的小波硬阈值来处理具有强高斯噪声的图像

获取原文
获取原文并翻译 | 示例

摘要

Wavelet transform method has been widely used in image filtering, the wavelet threshold de-noising method can treat Gaussian noise with randomness well. This paper proposes that after the wavelet transform the high frequency coefficients need a more accurate processing, And the classical hard threshold method has been improved by introducing the measure of medium truth scale. The new method can effectively handle strong Gaussian noise with larger variance through theoretical analysis and experimental simulation, and get a fine recovery image. It also provides a new approach for wavelet de-noising.
机译:小波变换方法已被​​广泛应用于图像滤波中,小波阈值降噪方法可以很好地处理高斯噪声。提出小波变换后,高频系数需要更精确的处理,并且通过引入中等真值标度的方法对经典的硬阈值方法进行了改进。通过理论分析和实验仿真,新方法可以有效地处理较大方差的高斯强噪声,并获得良好的恢复图像。它还为小波消噪提供了一种新方法。

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