• DocumentCode
    3687439
  • Title

    A novel hybrid method using Adaptive Wiener Filter and Example-based Approaches for aerial image super-resolution

  • Author

    K.N.V.S.D. Dwarakanath;G. Sai Sameer;Srikanth Khanna;V. Chandrasekaran

  • Author_Institution
    Department of Mathematics and Computer Science at Sri Sathya Sai Institute of Higher Learning (SSSIHL). India
  • fYear
    2015
  • fDate
    4/1/2015 12:00:00 AM
  • Firstpage
    1649
  • Lastpage
    1654
  • Abstract
    A novel hybrid method is proposed for aerial image super-resolution in which the output of the Adaptive Wiener Filter (AWF) based super resolution technique is further enhanced using Example-based Super-Resolution (EBSR). While AWF method gives a reasonable result measured in terms of perceptual quality, it has a disadvantage of blurring the image on account of the weighted averaging. Introduction of EBSR compensates for the loss of high frequency content and results in sharpening the edges. This paper demonstrates the effectiveness of the hybrid approach in improving the overall performance.
  • Keywords
    "Image resolution","Adaptation models","Image edge detection","Measurement","Databases"
  • Publisher
    ieee
  • Conference_Titel
    Communications and Signal Processing (ICCSP), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/ICCSP.2015.7322798
  • Filename
    7322798