Python package for calculating CIEDE2000 colour difference.
Project description
About
Python implementation of CIEDE2000 color difference calculation based on this paper:
More info: http://www2.ece.rochester.edu/~gsharma/ciede2000/
Use this BibTeX to cite:
@article{Sharma2005TheObservations,
title = {{The CIEDE2000 color-difference formula: Implementation notes, supplementary test data, and mathematical observations}},
year = {2005},
journal = {Color Research {\&} Application},
author = {Sharma, Gaurav and Wu, Wencheng and Dalal, Edul N},
number = {1},
month = {2},
pages = {21--30},
volume = {30},
publisher = {Wiley Subscription Services, Inc., A Wiley Company},
url = {http://dx.doi.org/10.1002/col.20070},
doi = {10.1002/col.20070},
issn = {1520-6378},
keywords = {CIE, CIE94, CIEDE2000, CIELAB, CMC, color-difference metrics}
}
Install
pip install pyciede2000
Usage
from pyciede2000 import ciede2000
res = ciede2000((50.0000,2.6772,-79.7751), (50.0000,0.0000,-82.7485))
print(res)
ciede2000
accepts two color values as tuples in Lab representation. Also supports optional keyword parameters for para-metric weighting factor k_L
, k_C
and k_H
.
Output format
ciede2000()
returns a dict with all significant fields in CIEDE2000 calculation.
res = {
"a_1_dash": a_1_dash,
"a_2_dash": a_2_dash,
"C_1_dash": C_1_dash,
"C_2_dash": C_2_dash,
"h_1_dash": h_1_dash,
"h_2_dash": h_2_dash,
"h_bar_dash": h_bar_dash,
"G": G,
"T": T,
"S_L": S_L,
"S_H": S_H,
"S_C": S_C,
"R_T": R_T,
"delta_E_00": delta_E_00
}
You might be only interested in the final delta value, delta_E_00
.
print(res['delta_E_00'])
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
pyciede2000-0.0.21.tar.gz
(4.9 kB
view hashes)
Built Distribution
Close
Hashes for pyciede2000-0.0.21-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | da570372b2c58902b5627568ec3ca2ac2c523d74790022069f89a3b626083d1a |
|
MD5 | 0e602309af1f96bdf6dd786c21a586a3 |
|
BLAKE2b-256 | f9e3b52ecf4711a92187ffa16e8f433af0b32fce7bcc3b8c00543f0592abaa72 |