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Light Random Sprays Retinex: Exploiting the Noisy Illumination Estimation., и . IEEE Signal Process. Lett., 20 (12): 1240-1243 (2013)Real-time retinex-based and learning-based methods for computational color constancy with high accuracy ; Metode visoke točnosti za računalnu postojanost boja za rad u stvarnom vremenu temeljene na Retinex pristupu te učenju.. University of Zagreb, Croatia, (2016)base-search.net (ftnulzagrebdr:oai:dr.nsk.hr:fer_4867).Color Dog - Guiding the Global Illumination Estimation to Better Accuracy., и . VISAPP (1), стр. 129-135. SciTePress, (2015)Color Beaver: Bounding Illumination Estimations for Higher Accuracy., , и . VISIGRAPP (4: VISAPP), стр. 183-190. SciTePress, (2019)Blue Shift Assumption: Improving Illumination Estimation Accuracy for Single Image from Unknown Source., и . VISIGRAPP (4: VISAPP), стр. 191-197. SciTePress, (2019)Color Rabbit: Guiding the distance of local maximums in illumination estimation., и . DSP, стр. 345-350. IEEE, (2014)Towards hardware-friendly retinex algorithms., и . ISPA, стр. 104-108. IEEE, (2017)TVOR: Finding Discrete Total Variation Outliers Among Histograms., и . IEEE Access, (2021)Illumination Estimation Challenge: experience of past two years., , , , , , , , , и 8 other автор(ы). CoRR, (2020)Flash and Storm: Fast and Highly Practical Tone Mapping based on Naka-Rushton Equation., и . VISIGRAPP (4: VISAPP), стр. 47-53. SciTePress, (2018)