• DocumentCode
    2046975
  • Title

    An Image Enhancement Algorithm Based on a Contrast Measure in the Wavelet Domain for Screening Mammograms

  • Author

    Tang, Jinshan ; Sun, Qingling ; Agyepong, Kwabena

  • Author_Institution
    Alcorn State Univ., Alcorn State
  • Volume
    5
  • fYear
    2007
  • fDate
    Sept. 16 2007-Oct. 19 2007
  • Abstract
    Currently, radiologists mainly use their eyes to discern cancer when they screen the mammograms. However, in many cases, cancer is not easily detected by the eyes because of bad imaging conditions. In order to improve the diagnostic rate of cancer, image enhancement technology is often used to enhance the image and aid the radiologists. In this paper, we developed a new image enhancement technology in the wavelet domain for radiologists to screen mammograms. The new image enhancement algorithm has several advantages. First, the image enhancement is based on a contrast measure defined in the wavelet domain which matches the human vision system better. The enhanced images are therefore more suitable for the human eye; second, the image enhancement is carried on in the wavelet domain which saves time if the image is compressed by JPEG2000. The algorithm was tested by an expert and the results are progressive.
  • Keywords
    cancer; data compression; image coding; image enhancement; mammography; medical image processing; JPEG2000; breast cancer diagnosis; human vision system; image compression; image enhancement algorithm; mammograms; radiologist; wavelet domain; Cancer detection; Discrete wavelet transforms; Eyes; Frequency; Humans; Image coding; Image enhancement; Machine vision; Transform coding; Wavelet domain; Image enhancement; ROC analysis; breast cancer diagnosis; contrast measure; mammograms; wavelet;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2007. ICIP 2007. IEEE International Conference on
  • Conference_Location
    San Antonio, TX
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-1437-6
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2007.4379757
  • Filename
    4379757