Munsell Re-renotation: Revised

Citation Author(s):
Valerii
Timofeev
Galim
Usaev
Mikhail
Seliugin
Dmitry
Bocharov
Anastasia
Sarycheva
Ivan
Konovalenko
Olga
Basova
Mikhail
Tchobanou
Valentina
Bozhkova
Dmitry
Nikolaev
Submitted by:
Olga Basova
Last updated:
Mon, 02/24/2025 - 05:54
DOI:
10.21227/yv46-3p40
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Abstract 

The dataset contains a revised version of the psychophysical color difference Munsell Re-renotation dataset.

Munsell Re-renotation is a psychophysical dataset describing large color differences, featuring 2986 colors characterized by standard colorimetric coordinates (x, y, Y) and coordinates within the Munsell system (H, V, C).The Munsell Re-renotation iteration enhances the uniformity of the system compared to its predecessor, the Munsell Renotation dataset.

The original Munsell Re-renotation data exists as a scanned report, accessible at this http://www.rit-mcsl.org/MunsellRenotation/MunsellRe-renotations.pdf

Within this dataset, you will find the Munsell Re-renotation data converted into a machine-readable format (.csv), accompanied by three revised versions:

(1) Corrected Misprints (35 items): This version rectifies 35 misprints identified during the initial round of corrections from the scanned report.

(2) Excluded Ambiguous and Duplicate Colors (5 Items): Ambiguous and duplicate colors, totaling 5 items, have been excluded from this version.

(3) Additional Misprints Corrections (41 Items): Incorporating 41 additional misprints corrections identified during a subsequent review, along with 8 revised corrections from the initial iteration.

Additionally, the dataset includes Munsell Renotation data sourced from https://www.rit.edu/science/munsell-color-science-lab-educational-resources (file real.dat), converted to .csv format for ease of use.

Instructions: 

Contents:

  • /munsell_2-0.csv: Munsell Renotation data containing real colors only, i.e., within the Macadam limits, sourced from the RIT website (file real.dat converted to .csv format).
  • /munsell_3-0.csv: Original Munsell Re-renotation data from the report, featuring 2986 colors.
  • /munsell_3-1-0.csv: Munsell Re-renotation data with 35 corrected erroneous colors (2986 colors).
  • /munsell_3-1-1.csv: Munsell Re-renotation data with 35 corrected erroneous colors, excluding 4 ambiguous colors and 1 duplicate color (2981 colors).
  • /munsell_3-2.csv: Munsell Re-renotation data incorporating a total of 76 corrected erroneous colors from munsell_3-0.csv (2985 colors). Note that corrections applied resulted in the removal of one color from the dataset.
Funding Agency: 
This work was supported by Huawei Technologies Co. Ltd. Russia.