• DocumentCode
    3198219
  • Title

    Comparison of a discrete wavelet transform method and a modified undecimated discrete wavelet transform method for denoising of mammograms

  • Author

    Matsuyama, Eri ; Du-Yih Tsai ; Yongbum Lee ; Takahashi, Naoyuki

  • Author_Institution
    Dept. of Radiol. Technol., Niigata Univ., Niigata, Japan
  • fYear
    2013
  • fDate
    3-7 July 2013
  • Firstpage
    3403
  • Lastpage
    3406
  • Abstract
    The purpose of this study was to evaluate the performance of a conventional discrete wavelet transform (DWT) method and a modified undecimated discrete wavelet transform (M-UDWT) method applied to mammographic image denoising. Mutual information, mean square error, and signal to noise ratio were used as image quality measures of images processed by the two methods. We examined the performance of the two methods with visual perceptual evaluation. A two-tailed F test was used to measure statistical significance. The difference between the M-UDWT processed images and the conventional DWT-method processed images was statistically significant (P<;0.01). The authors confirmed the superiority and effectiveness of the M-UDWT method. The results of this study suggest the M-UDWT method may provide better image quality as compared to the conventional DWT.
  • Keywords
    diagnostic radiography; discrete wavelet transforms; image denoising; mammography; mean square error methods; medical image processing; statistical analysis; M-UDWT processed images; conventional DWT-method processed images; conventional discrete wavelet transform method; image quality measurement; mammographic image denoising; mean square error methods; modified undecimated discrete wavelet transform method; signal-noise ratio; statistical significance; two-tailed F test; visual perceptual evaluation; Discrete wavelet transforms; Image denoising; Image quality; Noise reduction; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
  • Conference_Location
    Osaka
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2013.6610272
  • Filename
    6610272