• DocumentCode
    2705955
  • Title

    MLP interpolation for digital image processing using wavelet transform

  • Author

    Huang, Yu-Len ; Chang, Ruey-Feng

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Nat. Chung-Hsing Univ., Taichung, Taiwan
  • Volume
    6
  • fYear
    1999
  • fDate
    15-19 Mar 1999
  • Firstpage
    3217
  • Abstract
    We present nonlinear interpolation schemes for image resolution enhancement. The multilayer perceptron (MLP) interpolation schemes based on the wavelet transform and subband filtering are proposed. Because estimating each subimage signal is more effective than estimating the whole image signal, pixels in the low-resolution image are used as the input signal of the MLP to estimate all of the wavelet subimage of the corresponding high-resolution image. The image of increased resolution is finally produced by the synthesis procedure of the wavelet transform. As compared with other popular methods, the results show that the improvement is remarkable
  • Keywords
    filtering theory; image classification; image enhancement; image resolution; interpolation; multilayer perceptrons; wavelet transforms; MLP interpolation; VLSI techniques; digital image processing; high-resolution image; image resolution enhancement; input signal; low-resolution image; multilayer perceptron; nonlinear interpolation; pixels; subband filtering; subimage signal estimation; wavelet analysis/synthesis; wavelet subimage; wavelet transform; window edge classifier; Digital images; Frequency; Image reconstruction; Image resolution; Interpolation; Multilayer perceptrons; Neural networks; Pixel; Signal resolution; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
  • Conference_Location
    Phoenix, AZ
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-5041-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.1999.757526
  • Filename
    757526