27 citations · 32 across the 4 of their papers we have counts for
6 papers
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…
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…
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…
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…
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…
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…