activity
20132020
most citedUsing the Random Sprays Retinex Algorithm for Global Illumination Estimation

99 citations · 131 across the 5 of their papers we have counts for

collaborators

8 papers

cs.CV2020★ 1 cited

Illumination Estimation Challenge: experience of past two years

Egor Ershov, Alex Savchik, Ilya Semenkov +15

Illumination estimation is the essential step of computational color constancy, one of the core parts of various image processing pipelines of modern digital cameras. Having an acc…

stat.ME2020

TVOR: Finding Discrete Total Variation Outliers among Histograms

Nikola Banić, Neven Elezović

Pearson's chi-squared test can detect outliers in the data distribution of a given set of histograms. However, in fields such as demographics (for e.g. birth years), outliers may b…

cs.CV2020★ 27 cited

The Cube++ Illumination Estimation Dataset

Egor Ershov, Alex Savchik, Illya Semenkov +6

Computational color constancy has the important task of reducing the influence of the scene illumination on the object colors. As such, it is an essential part of the image process…

cs.CV2019★ 4 cited

CroP: Color Constancy Benchmark Dataset Generator

Nikola Banić, Karlo Koščević, Marko Subašić +1

Implementing color constancy as a pre-processing step in contemporary digital cameras is of significant importance as it removes the influence of scene illumination on object color…

cs.CV2019

The Past and the Present of the Color Checker Dataset Misuse

Nikola Banić, Karlo Koš{č}ević, Marko Subašić +1

The pipelines of digital cameras contain a part for computational color constancy, which aims to remove the influence of the illumination on the scene colors. One of the best known…

cs.CV2018

Green Stability Assumption: Unsupervised Learning for Statistics-Based Illumination Estimation

Nikola Banić, Sven Lončarić

In the image processing pipeline of almost every digital camera there is a part dedicated to computational color constancy i.e. to removing the influence of illumination on the col…

cs.CV2017

Unsupervised Learning for Color Constancy

Nikola Banić, Karlo Koščević, Sven Lončarić

Most digital camera pipelines use color constancy methods to reduce the influence of illumination and camera sensor on the colors of scene objects. The highest accuracy of color co…

cs.CV2013★ 99 cited

Using the Random Sprays Retinex Algorithm for Global Illumination Estimation

Nikola Banić, Sven Lončarić

In this paper the use of Random Sprays Retinex (RSR) algorithm for global illumination estimation is proposed and its feasibility tested. Like other algorithms based on the Retinex…