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Light Random Sprays Retinex: Exploiting the Noisy Illumination Estimation., and . 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., and . VISAPP (1), page 129-135. SciTePress, (2015)Color Beaver: Bounding Illumination Estimations for Higher Accuracy., , and . VISIGRAPP (4: VISAPP), page 183-190. SciTePress, (2019)Blue Shift Assumption: Improving Illumination Estimation Accuracy for Single Image from Unknown Source., and . VISIGRAPP (4: VISAPP), page 191-197. SciTePress, (2019)Color Rabbit: Guiding the distance of local maximums in illumination estimation., and . DSP, page 345-350. IEEE, (2014)Towards hardware-friendly retinex algorithms., and . ISPA, page 104-108. IEEE, (2017)TVOR: Finding Discrete Total Variation Outliers Among Histograms., and . IEEE Access, (2021)Illumination Estimation Challenge: experience of past two years., , , , , , , , , and 8 other author(s). CoRR, (2020)Unsupervised Learning for Color Constancy., and . VISIGRAPP (4: VISAPP), page 181-188. SciTePress, (2018)