• DocumentCode
    3195537
  • Title

    Image Restoration with Intensity Preservation from Fluorescein Angiogram Sequences

  • Author

    Guo, Xiaoxin ; Xu, Zhiwen ; Che, Xiangjiu ; Hu, Xiaoying

  • Author_Institution
    Jilin Univ., Changchun
  • fYear
    2007
  • fDate
    2-5 July 2007
  • Firstpage
    288
  • Lastpage
    291
  • Abstract
    Intensity degradations are a familiar problem for fluorescein angiogram sequences. In this paper, we attempt to restore a noisy fluorescein angiogram, and to keep the high intensity pixels from degrading. To this end, we incorporate a new constraint, called intensity constraint, to Miller´s regularization formulation with a smoothness constraint. Considering the specified requirement for fluorescein angiograms, we also modify the Q-th order converging algorithm for implementation purpose. In our scheme, including its formulation and implementation, image restoration can not only handle the traditional problems, such as blur and noise, but also achieve an important feature, intensity preservation. The experiments show that our approach has satisfactory results in the two aspects.
  • Keywords
    diagnostic radiography; fluorescence; image restoration; image sequences; medical image processing; Q-th order converging algorithm; fluorescein angiogram sequences; image restoration; intensity constraint; intensity preservation; noisy fluorescein angiogram; regularization formulation; smoothness constraint; Angiography; Biomedical imaging; Cameras; Degradation; Educational institutions; Fluorescence; Image restoration; Inverse problems; Medical diagnostic imaging; Retina;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo, 2007 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    1-4244-1016-9
  • Electronic_ISBN
    1-4244-1017-7
  • Type

    conf

  • DOI
    10.1109/ICME.2007.4284643
  • Filename
    4284643