Whiteness is one of the most important characteristics of a printing paper. There is a stable relationship between the printed and optical properties of the paper. At the same time, the understanding of whiteness in the paper-making and printing industries is significantly different. Such miscommunication negatively affects the quality of printed products, since the choice of a suitable paper (or cardboard) is difficult to a certain extent. One of the ways to get out of this situation is to create a simple and clear computational model of the white paper, which would not depend on any physical standards. The model would help when conducting the input control in printing plants and would allow one to establish communication between industries. This work is devoted to the description of such a model.

Topics
Computational models, Industry
1.
ISO 15397:2014
.
Graphic technology — Communication of graphic paper properties
2.
A.V.
 
Vurasko
,
A.Ya.
 
Ageev
, and
M.A.
 
Ageev
,
Technology of production, processing and reprocessing of paper and cardboard: tutorial
.
Ural Wood-Technical University publishing
,
Yekatetinburg
,
272
p. (
2011
) (in Russian).
Google Scholar
 
3.
ISO 2470-1
,
Paper, board and pulps — Measurement of diffuse blue reflectance factor — Part 1: Indoor daylight conditions (ISO brightness
).
4.
ISO 2470-2:2008
,
Paper, board and pulps — Measurement of diffuse blue reflectance factor — Part 2: Outdoor daylight conditions (D65 brightness
).
5.
N.
 
Dubina
,
CompuArt
,
11
,
50
–
59
(
2000
). (In Russian).
Google Scholar
 
6.
D.
 
Judd D
 and
G.
 
Wyszecki
,
Color in Business, Science, and Industry
,
Wiley-Interscience
; 3rd ed,
576
p. (
1975
)
Google Scholar
 
7.
ISO 11475
,
Paper and board — Determination of CIE whiteness, D65/10 degrees (outdoor daylight
).
8.
ISO 11476
,
Paper and board — Determination of CIE whiteness, C/2 degrees (indoor illumination conditions
)
9.
ISO 2469:2014
 
Paper, board and pulps -- Measurement of diffuse radiance factor (diffuse reflectance factor
)
10.
ISO 12647-7
,
Graphic technology — Process control for the production of half-tone colour separations, proof and production prints — Part 7: Proofing processes working directly from digital data
11.
G.
 
Ivchenko
 and
Yu.
 
Medvedev
,
Introduction in mathematical statistics
,
LKI
,
Moscow
,
600
p. (
2010
) (In Russian).
Google Scholar
 
This content is only available via PDF.
© 2020 Author(s).
2020
Author(s)
You do not currently have access to this content.