首页    期刊浏览 2024年09月06日 星期五
登录注册

文章基本信息

  • 标题:Research on Image Denoising with an Improved Wavelet Threshold Algorithm
  • 本地全文:下载
  • 作者:Wang Qian
  • 期刊名称:International Journal of Signal Processing, Image Processing and Pattern Recognition
  • 印刷版ISSN:2005-4254
  • 出版年度:2015
  • 卷号:8
  • 期号:9
  • 页码:257-266
  • DOI:10.14257/ijsip.2015.8.9.27
  • 出版社:SERSC
  • 摘要:Wavelet denoising is a commonly used method in the field of image denoising algorithms, based on the analysis of the characteristics of estimated wavelet coefficients in the wavelet threshold denoising and the traditional soft threshold and hard threshold method, in the light of the discontinuity of hard threshold and fixed deviation of soft threshold, and non-differentiable of compromise algorithm, a wavelet threshold denoising algorithm is put forward which is continuous based on the wavelet coefficients and differentiable and variable threshold value deviation, the experimental results show that this method has better denoising effect and has good practical value
  • 关键词:Image denoising; Wavelet algorithm; Threshold; Continuous differentiable
国家哲学社会科学文献中心版权所有