• DocumentCode
    562808
  • Title

    Image enhancement by spline interpolation and adaptive power spectrum cut-off of filtered images

  • Author

    Maurya, Sanjay Kumar ; Mishra, Pavan Kumar ; Singh, Ravindra Kumar ; Misra, Arun Kumar

  • Author_Institution
    Dept. of Electr. Eng., GLA Univ., Mathura, India
  • fYear
    2012
  • fDate
    30-31 March 2012
  • Firstpage
    423
  • Lastpage
    428
  • Abstract
    This paper presents a new approach to enhance resolution of the image using interpolation on filtered image. It is evident that low frequency filtered image smoothes the image, though the high frequency filtered image presents sharp change in intensity of the image. Interpolating high frequency filtered image and combining with interpolated low frequency image preserves edge information. Cubic spline interpolation is used to interpolate high and low frequency filtered image. Moreover the cut-off frequency of filter is decided on the basis of power spectrum for better result. The proposed method is tested on satellite and medical images. The quantitative and subjective results has established superiority of the proposed scheme over linear and nonlinear interpolation methods.
  • Keywords
    filtering theory; image enhancement; image resolution; interpolation; splines (mathematics); adaptive power spectrum cut-off; cubic spline interpolation; edge information; high frequency filtered image; image enhancement; image resolution; linear interpolation method; low frequency image; medical image; nonlinear interpolation method; satellite image; Cutoff frequency; Image edge detection; Image resolution; Information filters; Interpolation; Spline; Filters; Image enhancement; Interpolation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Engineering, Science and Management (ICAESM), 2012 International Conference on
  • Conference_Location
    Nagapattinam, Tamil Nadu
  • Print_ISBN
    978-1-4673-0213-5
  • Type

    conf

  • Filename
    6216041