| Light Random Sprays Retinex: Exploiting the Noisy Illumination Estimation N Banić, S Loncarić Signal Processing Letters, IEEE 20 (12), 1240-1243, 2013 | 72 | 2013 |
| Unsupervised learning for color constancy N Banić, K Koščević, S Lončarić arXiv preprint arXiv:1712.00436, 2017 | 47 | 2017 |
| Improving the White-patch method by subsampling N Banić, S Loncarić IEEE International Conference on Image Processing (ICIP), 605-609, 2014 | 42 | 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 | 40 | 2015 |
| Color cat: Remembering colors for illumination estimation N Banić, S Lončarić IEEE Signal Processing Letters 22 (6), 651-655, 2014 | 38 | 2014 |
| Color Dog-Guiding the Global Illumination Estimation to Better Accuracy. N Banic, S Loncaric VISAPP (1), 129-135, 2015 | 29 | 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 | 25 | 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 | 21 | 2014 |
| Using the red chromaticity for illumination estimation N Banić, S Lončarćc Image and Signal Processing and Analysis (ISPA), 9th International Symposium …, 2015 | 19 | 2015 |
| Puma: A high-quality retinex-based tone mapping operator N Banić, S Lončarić 2016 24th European Signal Processing Conference (EUSIPCO), 943-947, 2016 | 15 | 2016 |
| Color badger: a novel Retinex-based local tone mapping operator N Banić, S Lončarić International Conference on Image and Signal Processing, 400-408, 2014 | 13 | 2014 |
| 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 | 12 | 2019 |
| A Perceptual Measure of Illumination Estimation Error N Banic, S Loncaric VISAPP, 11th International Joint Conference on Computer Vision, Imaging and …, 2015 | 11 | 2015 |
| Green stability assumption: Unsupervised learning for statistics-based illumination estimation N Banić, S Lončarić Journal of Imaging 4 (11), 127, 2018 | 10 | 2018 |
| Blue Shift Assumption: Improving Illumination Estimation Accuracy for Single Image from Unknown Source. N Banic, S Loncaric VISIGRAPP (4: VISAPP), 191-197, 2019 | 9 | 2019 |
| Flash and Storm: Fast and Highly Practical Tone Mapping based on Naka-Rushton Equation. N Banic, S Loncaric VISIGRAPP (4: VISAPP), 47-53, 2018 | 8 | 2018 |
| Firefly: A Hardware-Friendly Real-Time Local Brightness Adjustment Method N Banić, S Loncarić IEEE International Conference on Image Processing (ICIP), 3951-3955, 2015 | 7 | 2015 |
| 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 | 6 | 2019 |
| Sensitivity of Tone Mapped Image Quality Metrics to Perceptually Hardly Noticeable Differences N Banić, S Lončarić Proceedings of The Fifth Croatian Computer Vision Workshop (CCVW 2016), 15-18, 2016 | 6 | 2016 |
| Improving the tone mapping operators by using a redefined version of the luminance channel N Banić, S Lončarić International Conference on Image and Signal Processing, 392-399, 2014 | 6 | 2014 |
Sven LoncaricProfessor, Faculty of Electrical Engineering and Computing, University of Zagreb, CroatiaVerified email at fer.hr
