Pregled bibliografske jedinice broj: 634893
A robust separable image denoising based on relative intersection of confidence intervals rule
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)
CROSBI ID: 634893 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
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, 04.09.2013. - 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
Projekti:
036-0362214-1987 - Modeliranje kompleksnih sustava (Jeren, Branko, MZO ) ( CroRIS)
036-0362214-1989 - Inteligentne metode obrade i analize slika (Lončarić, Sven, MZO ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
