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Real-time impulse noise suppression from images using an efficient weighted-average filtering

Hosseini, H ; Sharif University of Technology | 2015

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  1. Type of Document: Article
  2. DOI: 10.1109/LSP.2014.2381649
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2015
  4. Abstract:
  5. In this letter, we propose a method for real-time high density impulse noise suppression from images. In our method, we first apply an impulse detector to identify the corrupted pixels and then employ an innovative weighted-average filter to restore them. The filter takes the nearest neighboring interpolated image as the initial image and computes the weights according to the relative positions of the corrupted and uncorrupted pixels. Experimental results show that the proposed method outperforms the best existing methods in both PSNR measure and visual quality and is quite suitable for real-time applications
  6. Keywords:
  7. weighted-average filtering ; Image denoising ; Pixels ; Spurious signal noise ; Statistical methods ; Impulse detector ; Impulse noise suppression ; Interpolated images ; Real time ; Real-time application ; Relative positions ; Visual qualities ; Weighted averages ; Impulse noise
  8. Source: IEEE Signal Processing Letters ; Volume 22, Issue 8 , 2015 , Pages 1050-1054 ; 10709908 (ISSN)
  9. URL: http://ieeexplore.ieee.org/document/6987252/?arnumber=6987252