Separable Image Denoising Based on the Relative Intersection of Confidence Intervals Rule

Lerga, Jonatan; Sučić, Viktor; Vrankić, Miroslav

Pregled bibliografske jedinice broj: 489934

Separable Image Denoising Based on the Relative Intersection of Confidence Intervals Rule

Lerga, Jonatan; Sučić, Viktor; Vrankić, Miroslav

Separable Image Denoising Based on the Relative Intersection of Confidence Intervals Rule // Informatica, 22 (2011), 3; 383-394 (međunarodna recenzija, članak, znanstveni)

CROSBI ID: 489934 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Separable Image Denoising Based on the Relative Intersection of Confidence Intervals Rule

Autori
Lerga, Jonatan ; Sučić, Viktor ; Vrankić, Miroslav

Izvornik
Informatica (0868-4952) 22 (2011), 3; 383-394

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Relative intersection of confidence intervals (RICI) rule; Image restoration; Image denoising; Adaptive filters; Adaptive signal processing

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo

POVEZANOST RADA

Projekti:
069-0362214-1575 - Optimizacija i dizajn vremensko-frekvencijskih distribucija (Sučić, Viktor, MZOS ) ( CroRIS)

Ustanove:
Tehnički fakultet, Rijeka

Profili:

Jonatan Lerga (autor)