Nikola Banić
Nikola Banić
University of Zagreb, Faculty of Electrical Engineering and Computing
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Cited by
Cited by
Light Random Sprays Retinex: Exploiting the Noisy Illumination Estimation
N Banić, S Loncarić
Signal Processing Letters, IEEE 20 (12), 1240-1243, 2013
Unsupervised learning for color constancy
N Banić, K Koščević, S Lončarić
arXiv preprint arXiv:1712.00436, 2017
Improving the White-patch method by subsampling
N Banić, S Loncarić
IEEE International Conference on Image Processing (ICIP), 605-609, 2014
Smart light random memory sprays Retinex: a fast Retinex implementation for high-quality brightness adjustment and color correction
N Banić, S Lončarić
JOSA A 32 (11), 2136-2147, 2015
Color cat: Remembering colors for illumination estimation
N Banić, S Lončarić
IEEE Signal Processing Letters 22 (6), 651-655, 2014
Color Dog-Guiding the Global Illumination Estimation to Better Accuracy.
N Banic, S Loncaric
VISAPP (1), 129-135, 2015
Using the Random Sprays Retinex algorithm for global illumination estimation
N Banić, S Lončarić
Proceedings of The Second Croatian Computer Vision Workshop (CCVW 2013), 3-7, 2013
Color Rabbit: Guiding the distance of local maximums in illumination estimation
N Banić, S Lončarić
Digital Signal Processing (DSP), 2014 19th International Conference on, 345-350, 2014
Using the red chromaticity for illumination estimation
N Banić, S Lončarćc
Image and Signal Processing and Analysis (ISPA), 9th International Symposium …, 2015
Puma: A high-quality retinex-based tone mapping operator
N Banić, S Lončarić
2016 24th European Signal Processing Conference (EUSIPCO), 943-947, 2016
Color beaver: Bounding illumination estimations for higher accuracy
K Košcevic, N Banic, S Loncaric
Proc. 14th Int. Joint Conf. Comput. Vis., Imag. Comput. Graph. Theory Appl …, 2019
Color badger: a novel Retinex-based local tone mapping operator
N Banić, S Lončarić
International Conference on Image and Signal Processing, 400-408, 2014
NTIRE 2022 challenge on night photography rendering
E Ershov, A Savchik, D Shepelev, N Banić, MS Brown, R Timofte, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
A Perceptual Measure of Illumination Estimation Error
N Banic, S Loncaric
VISAPP, 11th International Joint Conference on Computer Vision, Imaging and …, 2015
Green stability assumption: Unsupervised learning for statistics-based illumination estimation
N Banić, S Lončarić
Journal of Imaging 4 (11), 127, 2018
Flash and Storm: Fast and Highly Practical Tone Mapping based on Naka-Rushton Equation.
N Banic, S Loncaric
VISIGRAPP (4: VISAPP), 47-53, 2018
Blue Shift Assumption: Improving Illumination Estimation Accuracy for Single Image from Unknown Source.
N Banic, S Loncaric
VISIGRAPP (4: VISAPP), 191-197, 2019
TVOR: Finding discrete total variation outliers among histograms
N Banić, N Elezović
IEEE Access 9, 1807-1832, 2020
The cube++ illumination estimation dataset
E Ershov, A Savchik, I Semenkov, N Banić, A Belokopytov, D Senshina, ...
IEEE Access 8, 227511-227527, 2020
The past and the present of the color checker dataset misuse
N Banić, K Koščević, M Subašić, S Lončarić
2019 11th International Symposium on Image and Signal Processing and …, 2019
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