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A robust separable image denoising based on relative intersection of confidence intervals rule


Seršić, Damir; Sović, Ana
A robust separable image denoising based on relative intersection of confidence intervals rule // ISPA 2013 / Gianni Ramponi, Sven Lončarić, Alberto Carini, Karen Egiazarian (ur.).
Trst: University of Zagreb, University of Trieste, 2013. str. 89-96 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
A robust separable image denoising based on relative intersection of confidence intervals rule

Autori
Seršić, Damir ; Sović, Ana

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
ISPA 2013 / Gianni Ramponi, Sven Lončarić, Alberto Carini, Karen Egiazarian - Trst : University of Zagreb, University of Trieste, 2013, 89-96

ISBN
978-953-184-187-0

Skup
8th International Symposium on Image and Signal Processing and Analysis

Mjesto i datum
Trst, Italija, 04-06.09.2013

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Intersection of confidence intervals; Image denoising; Median; Adaptive filters

Sažetak
Many microscopy images, or 3D depth maps can be represented using piecewise constant models. They usually contain noise due to sensor imperfectness. In this paper, an improved separable denoising method based on the relative intersection of confidence intervals rule is proposed. The method uses median averaging and is robust to outliers and different noise distributions. It over-performs competitive methods in the sense of edge preservation.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo



POVEZANOST RADA


Projekt / tema
036-0362214-1987 - Modeliranje kompleksnih sustava (Branko Jeren, )
036-0362214-1989 - Inteligentne metode obrade i analize slika (Sven Lončarić, )

Ustanove
Fakultet elektrotehnike i računarstva, Zagreb