Separable Image Denoising Based on the Relative Intersection of Confidence Intervals Rule (CROSBI ID 167036)
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Podaci o odgovornosti
Lerga, Jonatan ; Sučić, Viktor ; Vrankić, Miroslav
engleski
Separable Image Denoising Based on the Relative Intersection of Confidence Intervals Rule
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.
Relative intersection of confidence intervals (RICI) rule; Image restoration; Image denoising; Adaptive filters; Adaptive signal processing
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Podaci o izdanju
Povezanost rada
Elektrotehnika, Računarstvo