期刊文献+

Selective image enhancement method for low energy target information area

Selective image enhancement method for low energy target information area
下载PDF
导出
摘要 A selective subband enhancement method based on biorthogonal wavelet base is proposed. This novel image enhancement method is just for those images in which the energy of target information area is relatively lower. It includes two parts: one is enhancing the low frequency subband by wavelet decomposition and the other is building a new criterion based on entropy window to image evaluation. Experimental results show that this new scheme may result in a perfect image processing. A selective subband enhancement method based on biorthogonal wavelet base is proposed. This novel image enhancement method is just for those images in which the energy of target information area is relatively lower. It includes two parts: one is enhancing the low frequency subband by wavelet decomposition and the other is building a new criterion based on entropy window to image evaluation. Experimental results show that this new scheme may result in a perfect image processing.
出处 《Journal of Central South University of Technology》 EI 2006年第5期563-567,共5页 中南工业大学学报(英文版)
基金 Project (2003AA1Z2610) supported by National High Technology Research and Development Programof China
关键词 wavelet transform biorthogonal wavelet basel selective subband enhancement entropy windowl lowfrequency subband 小波变换 双正交小波 低频 图象增强
  • 相关文献

参考文献10

  • 1Mallat S,Zhong S.Characterization of signals from multiscale edge[].IEEE Transactions on Pattern Analysis andMachine Intelligence.1992
  • 2Stephane Mallat.A Wavelet Tour of Signal Processing[]..1999
  • 3Cohen A,Daubechies I,Feauveau JC.Biorthogonal bases of compactly supported wavelets[].Communications of the ACM.1992
  • 4Shensa M J.The discrete wavelet transform: wedding the a trous and mallat algorithms[].IEEE Transactions on Signal Processing.1992
  • 5O. Rioul,P. Duhamel.Fast algorithms for discrete and continuous wavelet transforms[].IEEE Transactions on Information Theory.1992
  • 6Michael G S.Optimal biorthogonal wavelet decomposition of wire-frame meshes box splines, and its application to the hierarchical coding of 3-D surfaces [ J][].IEEE Transactions on Image Processing.1999
  • 7Gordon R,Rangayyan R M.Feature Enhancement of Film Mammograms Using Fixed and Adaptive Neighborhoods[].Applied Optics.1984
  • 8Hayit Greenspan,Charles H Anderson,Sofia Akber.Image Enhancement By Nonlinear Extrapolation[].IEEE Transactions on Image Processing.2000
  • 9Stephane Mallat,Wen Liang Hwang.Singularity detection and processing with wavelets[].IEEE Transactions on Information Theory.1992
  • 10Mallat Stephane.Zero-crossings of a wavelet transform[].IEEE Transactions on Information Theory.1991

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部