• DocumentCode
    329917
  • Title

    POCS based adaptive image magnification

  • Author

    Ratakonda, Krishna ; Ahuja, Narendra

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA
  • fYear
    1998
  • fDate
    4-7 Oct 1998
  • Firstpage
    203
  • Abstract
    We tackle the problem of magnifying an image without incurring blurring, ringing or other artifacts common to classical schemes. The proposed iterative scheme starts with an initial magnified image generated by a process of selective interpolation. By placing suitable constraints on the final magnified image, which are convex in nature, we show that magnification can be posed as a problem of finding a solution which lies at the intersection of convex sets. By avoiding explicit high frequency enhancing assumptions in the iterative process, we avoid edge enhancement artifacts in the magnified image
  • Keywords
    adaptive signal processing; edge detection; image enhancement; image reconstruction; image resolution; interpolation; iterative methods; POCS based adaptive image magnification; convex sets intersection; edge location; image reconstruction algorithm; iterative scheme; resolution enhancement; selective interpolation; Constraint theory; Finite impulse response filter; Frequency; Image generation; Image resolution; Image segmentation; Interpolation; Iterative algorithms; Laplace equations; Pixel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    0-8186-8821-1
  • Type

    conf

  • DOI
    10.1109/ICIP.1998.727167
  • Filename
    727167