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  • 标题:A Survey on Image De-noising using Threshold Discrete Wavelets
  • 本地全文:下载
  • 作者:Tajinder Singh ; Rajeev Bedi
  • 期刊名称:International Journal of Computer Science & Technology
  • 印刷版ISSN:2229-4333
  • 电子版ISSN:0976-8491
  • 出版年度:2012
  • 卷号:3
  • 期号:2
  • 页码:188-190
  • 语种:English
  • 出版社:Ayushmaan Technologies
  • 摘要:This paper represents an outline of wavelets and its use in Image De-noising. The wavelets can be used for the removal of noise from digital images. Wavelets are functions that assure certain mathematical necessities and are used in place of data or other functions. Wavelet hypothesis represents possessions by breaking them down into many consistent component pieces, similar to pieces of jig-saw puzzle, when the pieces are scaled and translated wavelets, this breaking down process is wavelet decomposition or wavelet transform. This paper also describes the advantages of wavelets over Fourier Transformation and instead, wavelet transforms have an infinite set of possible basis functions which can be used for de-noising the digitized images.
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