Super-resolution using a wavelet-based adaptive Wiener filter

Nabil G. Sadaka, Lina Karam

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

In this paper, a Wavelet-based Adaptive Wiener Filter (WAWF) super-resolution (SR) algorithm is presented. A redundant discrete dyadic wavelet transform (DDWT) is applied to the input sequence to classify the LR frames into subbands of similar contextual information. The similar subbands from each LR frame are registered using subpixel motion and merged on the same HR grid to form HR subbands of similar contextual and statistical information. Then an adaptive Wiener filter approach is applied locally to each subband in order to interpolate the missing information on the HR gird. The weights of the filter are designed using a parametric circularly symmetric statistical model that adapts to the statistics and the spatial proximity of the neighboring wavelet coefficients. Simulation results show that the proposed WAWF SR algorithm results in a superior performance as compared to existing recent SR schemes.

Original languageEnglish (US)
Title of host publicationProceedings - International Conference on Image Processing, ICIP
Pages3309-3312
Number of pages4
DOIs
StatePublished - 2010
Event2010 17th IEEE International Conference on Image Processing, ICIP 2010 - Hong Kong, Hong Kong
Duration: Sep 26 2010Sep 29 2010

Other

Other2010 17th IEEE International Conference on Image Processing, ICIP 2010
CountryHong Kong
CityHong Kong
Period9/26/109/29/10

Fingerprint

Adaptive filters
Discrete wavelet transforms
Statistics

Keywords

  • Discrete dyadic wavelet transform
  • Super resolution
  • Wiener filter

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

Cite this

Sadaka, N. G., & Karam, L. (2010). Super-resolution using a wavelet-based adaptive Wiener filter. In Proceedings - International Conference on Image Processing, ICIP (pp. 3309-3312). [5651639] https://doi.org/10.1109/ICIP.2010.5651639

Super-resolution using a wavelet-based adaptive Wiener filter. / Sadaka, Nabil G.; Karam, Lina.

Proceedings - International Conference on Image Processing, ICIP. 2010. p. 3309-3312 5651639.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sadaka, NG & Karam, L 2010, Super-resolution using a wavelet-based adaptive Wiener filter. in Proceedings - International Conference on Image Processing, ICIP., 5651639, pp. 3309-3312, 2010 17th IEEE International Conference on Image Processing, ICIP 2010, Hong Kong, Hong Kong, 9/26/10. https://doi.org/10.1109/ICIP.2010.5651639
Sadaka NG, Karam L. Super-resolution using a wavelet-based adaptive Wiener filter. In Proceedings - International Conference on Image Processing, ICIP. 2010. p. 3309-3312. 5651639 https://doi.org/10.1109/ICIP.2010.5651639
Sadaka, Nabil G. ; Karam, Lina. / Super-resolution using a wavelet-based adaptive Wiener filter. Proceedings - International Conference on Image Processing, ICIP. 2010. pp. 3309-3312
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