期刊文献+

基于低能见度场景中退化图像的增强方法

Methods of Strengthening Degrade Image Based on Low Visibility Scene
下载PDF
导出
摘要 研究了低能见度条件下的图像清晰化方法,在基于频率域与空间域的传统算法的基础上,提出了传统算法互相结合的新算法,包括POSHE算法、基于POSHE算法与传统算法相结合的算法、有限对比自适应直方图均衡化的算法、基于CLAHE算法和POSHE算法与传统算法相结合的算法。以上几种算法,都能对含沙尘的这类图像进行不同程度的增强,得到了较为满意的结果。 The paper was researched methods of image sharpening in condition of low visibility. Based on traditional algo- rithm of frequency domain and space domain, the paper was put forward new algorithm combined traditional algorithm, in- cluding POSHE algorithm, combining traditional algorithm based on POSHE, limited comparison adaptive histogram equaliza- tion algorithm and combining traditional algorithm based on CLAHE algorithm and POSHE algorithm. Above algorithms strengthened the kind of dust image in different degree and obtained approving results.
作者 杨兆飞 司洋
出处 《科技创新与生产力》 2013年第2期87-89,共3页 Sci-tech Innovation and Productivity
关键词 图像增强 低能见度图像 退化图像 全局直方图 局部直方图 image enhancement low visibility image degrade image global histogram local histogram
  • 相关文献

参考文献4

二级参考文献22

  • 1.企业档案电子化管理标准[S].[S].北京:国家工商行政管理局,2002..
  • 2.企业档案处理技术标准[S].[S].北京:国家工商行政管理局,2000..
  • 3Eom I K,Kim Y S.Wavelet-based Denoising with Nearly Arbitrarily Shaped Windows[J].IEEE Signal Processing,2004,11(12):937-940.
  • 4Kazubek M.Wavelet Domain Image Denoising by Thresholding and Wiener Filtering[J].IEEE Signal Processing,2003,10(11):324-326.
  • 5Chang S G,Yu B,Vetterli M.Spatially Adaptive Wavelet Thresholding with Context Modeling for Image Denoising[J].IEEE Trans on Image Processing,2000,9(9):1 522-1 531.
  • 6Sendur L,Selesnick I W.Bivariate Shrinkage with Local Variance Estimation[J].IEEE Signal Processing,2002,9(12):438-441.
  • 7Chang S,Yu B,Vetterli M.Adaptive Wavelet Thresholding for Image Denoising and Compression[J].IEEE Trans on Image Processing,2000,9(9):1 532-1 546.
  • 8Crouse M S,Nowak R D.Wavelet-based Signal Processing Using Hidden Markov Models[J].IEEE Trans on Signal Processing,1998,46(4):886-902.
  • 9Fan G,Xia X G.Image Denoising Using Local Contextual Hidden Markov Model in the Wavelet Domain[J].IEEE Signal Processing Lett,2001,8(5):125-128.
  • 10DeVore R A.Nonlinear Approximation[J].Acta Numer,1998,(7):51-150.

共引文献16

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