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  • 标题:An Accurate Subpixel Shift Registration in Noisy Image Using a Kernel Regression Method
  • 本地全文:下载
  • 作者:HOSSAM ELDEEN M. SHAMARDAN
  • 期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
  • 印刷版ISSN:2347-6710
  • 电子版ISSN:2319-8753
  • 出版年度:2014
  • 卷号:3
  • 期号:11
  • 页码:17567
  • DOI:10.15680/IJIRSET.2014.0311067
  • 出版社:S&S Publications
  • 摘要:In this paper, a new accurate su bpixel regis tration for puresh ift es timation is pro posed. The noise effect, which disturbs the quality of regis tration proces s , is taken into account. The kern el reg ress ion method which represents the fieldofnon para metric statistics is used as atool for the estimation process dueto it spowerfu l capabilities in the field of both denoising and interpolation . The kernel regression depends on studyin galocal region inten sities distribution and gradients. By ap plying gradient descentmethod, the global translation parameters can bees timated. Exper imen tal results show that our propos ed method can estimate the tran slation parameters accu rately. Fu rthermore, our method performs well in noisy images.
  • 关键词:Digital image processing; Pattern recognition; Nonlinear spatial filters; Subpixel registration; Kernel;regression.
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