• DocumentCode
    3582849
  • Title

    A new method of super-resolution reconstruction based on wavelet and subpixel interpolation

  • Author

    Senhua Wang ; Zhang Li ; Xiangzhong Li ; Yongqin Yang

  • Author_Institution
    Logistical Inf. & Mil. logistics Eng. Dept., Logistical Eng. Univ., China
  • fYear
    2014
  • Firstpage
    205
  • Lastpage
    208
  • Abstract
    Image super-resolution reconstruction was an important task in the field of image enhancement and image restoration. In this paper, a new super-resolution reconstruction method which based on wavelet analysis and sub-pixel interpolation was proposed by using wavelet edge detection and polynomial subdivision location. The simulation results showed that the boundary of reconstructed high-resolution image is clear and natural, and the subjective judgment and objective evaluation is better than traditional reconstruction algorithm. The algorithm in this paper achieves good effects and reaches good feasibility and validity.
  • Keywords
    edge detection; image enhancement; image reconstruction; image resolution; image restoration; interpolation; polynomials; wavelet transforms; image enhancement; image restoration; objective evaluation; polynomial subdivision location; subjective judgment; subpixel interpolation; super-resolution reconstruction method; wavelet analysis; wavelet edge detection; Image edge detection; Image reconstruction; Interpolation; Reconstruction algorithms; Signal resolution; Spatial resolution; Polynomial Subdivision; Super-resolution Reconstruction; Wavelet;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wavelet Active Media Technology and Information Processing (ICCWAMTIP), 2014 11th International Computer Conference on
  • Print_ISBN
    978-1-4799-7207-4
  • Type

    conf

  • DOI
    10.1109/ICCWAMTIP.2014.7073391
  • Filename
    7073391