• DocumentCode
    3258093
  • Title

    An improved super resolution reconstruction method based on initial value estimation

  • Author

    Qin, Fengqing

  • Author_Institution
    Coll. of Comput. & Inf. Eng., Yibin Univ., Yibin, China
  • Volume
    2
  • fYear
    2010
  • fDate
    16-18 Oct. 2010
  • Firstpage
    826
  • Lastpage
    829
  • Abstract
    In order to improve the spatial resolution of the super resolution reconstructed image, an improved image super resolution reconstruction algorithm is proposed. In iterative back projection (IBP) algorithm, the initial value is estimated through wavelet locally adaptive interpolation method, other than in the traditional interpolation way. Image super resolution reconstruction is performed on multiple simulated low resolution images, experimental results show that the initial value plays an important part in super resolution reconstruction algorithm. The reconstructed image achieves better visual effect and higher peak signal to noise ratio (PSNR). The IBP algorithm has less estimation error and faster convergent speed than other method. This initial value estimation method can also be extensively used in other iterative super resolution algorithms.
  • Keywords
    image reconstruction; image resolution; iterative methods; estimation error; initial value estimation; iterative back projection; peak signal to noise ratio; super resolution reconstruction method; Image reconstruction; Interpolation; Reconstruction algorithms; Signal resolution; Spatial resolution; Wavelet transforms; initialized value estimation; iterative back projection; super resolution reconstruction; wavelet locally adaptive interpolation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2010 3rd International Congress on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4244-6513-2
  • Type

    conf

  • DOI
    10.1109/CISP.2010.5646854
  • Filename
    5646854