No-Reference Error Detection in Color Difference Datasets: Application to Munsell Data

No-Reference Error Detection in Color Difference Datasets: Application to Munsell Data

The Munsell dataset is a cornerstone in color science, offering extensive coverage of large color differences across a wide gamut, and serving as a prominent resource for developing and validating color models. The widely used second version, the “Munsell Renotation” dataset, h...

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Bibliographic Details
Main Authors: Valerii Timofeev, Galim Usaev, Mikhail Seliugin, Dmitry Bocharov, Anastasia Sarycheva, Ivan Konovalenko, Olga Basova, Mikhail Tchobanou, Valentina Bozhkova, Dmitry Nikolaev
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Color order system
color spaces
data-driven dataset refinement
Munsell system
STRESS
Online Access:https://ieeexplore.ieee.org/document/11048487/
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