• DocumentCode
    1739565
  • Title

    The fixed-phase iterative algorithm recovery of blurred image

  • Author

    Feng, ZhuRen ; Hui, Zhou

  • Author_Institution
    Inst. of Command & Technol., Acad. Sinica, Huairou, China
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    898
  • Abstract
    Based on the theory of signal reconstruction, this paper puts forward a valid method of recovery of the blurred image-the fixed-phase iterative algorithm recovery. By analyzing the mathematical description and property of the blurred image, the phase spectrum of the astigmatism system is a zero-phase-spectrum. Consequently, relying on the phase-only reconstruction principle, the blurred image can be reconstructed and recovered by an iterative algorithm. This paper focuses on the three steps of the iterative algorithm and some details on how to process data in every step. Finally, two conclusions are drawn after the realization of the method
  • Keywords
    image reconstruction; iterative methods; spectral analysis; astigmatism system; blurred image reconstruction; blurred image recovery; fixed-phase iterative algorithm recovery; phase spectrum; phase-only reconstruction; signal reconstruction; zero-phase-spectrum; Algorithm design and analysis; Digital images; Image analysis; Image generation; Image reconstruction; Image sequences; Iterative algorithms; Noise generators; Signal analysis; Vision defects;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-5747-7
  • Type

    conf

  • DOI
    10.1109/ICOSP.2000.891662
  • Filename
    891662