• DocumentCode
    3055592
  • Title

    An innovative image enhancement method for edge preservation in wavelet domain

  • Author

    Jing Jin ; Songyuan Tang ; Yi Shen

  • Author_Institution
    Dept. of Control Sci. & Eng., Harbin Inst. of Technol., Harbin, China
  • fYear
    2015
  • fDate
    11-14 May 2015
  • Firstpage
    52
  • Lastpage
    56
  • Abstract
    In this paper, an innovative method is proposed for both noise repression and edge preservation. This method is distinct in that the structure tensor is applied in wavelet domain to detect the edge information. And both the shrinkage and the detection process are quantified and unified in the form of the matrix mask. In this way, the image denoising can be conducted with the detailed information maintained. To be specific, two matrix masks respectively in charge of suppressing the noise and preserving the edge pixels are combined to undertake this dual mission. And such an approach is proven to be beneficial to both the noise repression and the edge preservation.
  • Keywords
    image denoising; image enhancement; matrix algebra; tensors; wavelet transforms; detection process; edge information detection; edge preservation; image denoising; image enhancement method; matrix mask; shrinkage process; structure tensor; wavelet domain; Compounds; Image edge detection; Noise; Noise reduction; Tensile stress; Wavelet domain; Wavelet transforms; compound mask; denoising; edge preservation; structure tensor; wavelet threshold shrinkage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference (I2MTC), 2015 IEEE International
  • Conference_Location
    Pisa
  • Type

    conf

  • DOI
    10.1109/I2MTC.2015.7151239
  • Filename
    7151239