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  4. Separable Image Denoising Based on the R ...

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Separable Image Denoising Based on the Relative Intersection of Confidence Intervals Rule
Volume 22, Issue 3 (2011), pp. 383–394
Jonatan Lerga   Victor Sucic   Miroslav Vrankić  

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https://doi.org/10.15388/Informatica.2011.332
Pub. online: 1 January 2011      Type: Research Article     

Received
1 April 2009
Accepted
1 November 2010
Published
1 January 2011

Abstract

In this paper we have proposed a novel method for image denoising using local polynomial approximation (LPA) combined with the relative intersection of confidence intervals (RICI) rule. The algorithm performs separable column-wise and row-wise image denoising (i.e., independently by rows and by columns), combining the obtained results into the final image estimate. The newly developed method performs competitively among recently published state-of-the-art denoising methods in terms of the peak signal-to-noise ratio (PSNR), even outperforming them for small to medium noise variances for images that are piecewise constant along their rows and columns.

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Keywords
relative intersection of confidence intervals (RICI) rule image restoration image denoising adaptive filters adaptive signal processing

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INFORMATICA

  • Online ISSN: 1822-8844
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