1. Separable Image Denoising Based on the Relative Intersection of Confidence Intervals Rule.
- Author
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Lerga, Jonatan, Sucic, Victor, and Vrankić, Miroslav
- Subjects
ADAPTIVE filters ,ADAPTIVE signal processing ,IMAGE reconstruction ,SIGNAL-to-noise ratio ,APPROXIMATION theory ,CONFIDENCE intervals - 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. [ABSTRACT FROM AUTHOR]
- Published
- 2011
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