Pregled bibliografske jedinice broj: 900149
Towards hardware-friendly Retinex algorithms
Towards hardware-friendly Retinex algorithms // Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis
Ljubljana, Slovenija, 2017. str. 104-108 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 900149 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Towards hardware-friendly Retinex algorithms
Autori
Banić, Nikola ; Lončarić, Sven
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis
/ - , 2017, 104-108
Skup
2017 10th International Symposium on Image and Signal Processing and Analysis
Mjesto i datum
Ljubljana, Slovenija, 18.09.2017. - 20.09.2017
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
brightness adjustment, color constancy, hardware-friendly, image enhancement, Retinex
Sažetak
Retinex theory was among the first to introduce a model for simultaneous brightness adjustment and removal of illumination influence on image colors by supposedly emulating some aspects of the human visual system's behaviour. The main idea of most Retinex methods is to readjust color channel values of individual pixels with respect to their local white references. Recently the Smart Light Random Memory Sprays Retinex (SLRMSR) method with a O(1) per-pixel complexity was proposed. Although theoretically fast, like with many other Retinex methods, the problem is that its local pixel sampling scheme and some of its local maximum calculation structures common to other Retinex methods as well are not particularly hardware-friendly. In this paper a reduced sampling scheme and an approximated local maxima calculation are proposed and included into a modified SLRMSR. While the resulting images are visually very similar to the ones obtained by the original SLRMSR, the modified SLRMSR is structurally simpler and more hardware friendly. The results are presented and discussed.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Projekti:
HRZZ-IP-2016-06-2092 - Metode i algoritmi za poboljšanje slika u boji u stvarnom vremenu (PerfectColor) (Lončarić, Sven, HRZZ ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb