Pregled bibliografske jedinice broj: 819920
Classification of Image Degradation Using Riesz Transform
Classification of Image Degradation Using Riesz Transform // Proceedings IWSSIP 2016 / Minárik, Ivan ; Rybárová, Renata ; Trúchly, Peter ; Rozinaj, Gregor (ur.).
Bratislava: Slovak University of Technology in Bratislava, Faculty of Electrical Engineering and Information Technology, Institute of Telecommunication, Bratislava ; Združenie používateľov telekomunikácií Slovenska, Bratislava, 2016. str. 209-212 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 819920 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Classification of Image Degradation Using Riesz Transform
Autori
Bjelopera, Anamaria ; Dumić, Emil ; Grgić, Sonja
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings IWSSIP 2016
/ Minárik, Ivan ; Rybárová, Renata ; Trúchly, Peter ; Rozinaj, Gregor - Bratislava : Slovak University of Technology in Bratislava, Faculty of Electrical Engineering and Information Technology, Institute of Telecommunication, Bratislava ; Združenie používateľov telekomunikácií Slovenska, Bratislava, 2016, 209-212
ISBN
978-1-4673-9553-3
Skup
23rd International Conference on Systems, Signals and Image Processing
Mjesto i datum
Bratislava, Slovačka, 23.05.2016. - 25.05.2016
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
image degradation; Riesz transform; BRISQUE; MSCN coefficients; statistical significance
Sažetak
This paper presents new method for classification of type of image degradation based on the Riesz transform and BRISQUE no-reference quality measure. Riesz transform has great properties and it can be used in many applications. Some of its benefits are: the ability toconstruct family of steerable wavelets with arbitrary order and any number of dimensions and it can bring the algorithm of filter banks with perfect reconstruction and also go to dimensions higher than two.Statistical properties of MSCN coefficients used by BRISQUE change in presence of distortion and by quantifying this changes with features calculated by using GGD and AGGD model the class of distortion can be determined. We calculated 18 statistical features out of spatial coefficients defined by BRISQUE measure and 19 parameters out of Riesz coefficients to get 37 features in total and then used features as input in SVM regressor in order to identify the type of image degradation. Then, we compared new method with BRISQUE method by using McNemar’s statistical test to show statistical significance of our method.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb,
Sveučilište u Dubrovniku
