• DocumentCode
    541789
  • Title

    Image enhancement using integer sequences based windows

  • Author

    Srinivasa Rao, D. ; Rajasekhar, C.H. ; Govardhan, G.

  • Author_Institution
    Dept. of ECE, GMR Inst. of Technol., Srikakulam, India
  • fYear
    2010
  • fDate
    27-29 Dec. 2010
  • Firstpage
    498
  • Lastpage
    502
  • Abstract
    Image enhancement techniques using spatial and frequency domain filters are concerned with general improvement of images for human observers. Of the two, frequency domain filters can be designed using a number of techniques, of which, windowing technique is the simplest technique to obtain such realizable frequency domain filters. In this work, we discuss the effect of applying the filter coefficients generated using integer window sequences and the compare the effect of using filters designed using integer sequences as windows over conventional classical window based filters for smoothening and sharpening of the images. The mean square error plot for low pass filtered image shows that over a certain range of threshold values the filter designed based on integer sequences outperforms the filters designed using classical (real numbers) windows. High pass filters designed using integer windows are found to sharpen the images much better than the filters designed using classical windows.
  • Keywords
    filtering theory; image enhancement; mean square error methods; sequences; spatial filters; frequency domain filters; high pass filters; image enhancement; integer sequences based windows; low pass filtered image; mean square error plot; spatial filters; windowing technique; Filtering theory; Finite impulse response filter; Frequency domain analysis; Image enhancement; Image reconstruction; Low pass filters; Filtering; Image enhancement; integer sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication and Computational Intelligence (INCOCCI), 2010 International Conference on
  • Conference_Location
    Erode
  • Type

    conf

  • Filename
    5738780