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Interval estimation of color parameters from digital images. / Palchikova, Irina Georgievna; Smirnov, Evgenii Sergeevich.

In: Computer Optics, Vol. 41, No. 1, 01.01.2017, p. 95-102.

Research output: Contribution to journal › Article › peer-review

Harvard

Palchikova, IG & Smirnov, ES 2017, 'Interval estimation of color parameters from digital images', Computer Optics, vol. 41, no. 1, pp. 95-102. https://doi.org/10.18287/2412-6179-2017-41-1-95-102

APA

Palchikova, I. G., & Smirnov, E. S. (2017). Interval estimation of color parameters from digital images. Computer Optics, 41(1), 95-102. https://doi.org/10.18287/2412-6179-2017-41-1-95-102

Vancouver

Palchikova IG, Smirnov ES. Interval estimation of color parameters from digital images. Computer Optics. 2017 Jan 1;41(1):95-102. doi: 10.18287/2412-6179-2017-41-1-95-102

Author

Palchikova, Irina Georgievna ; Smirnov, Evgenii Sergeevich. / Interval estimation of color parameters from digital images. In: Computer Optics. 2017 ; Vol. 41, No. 1. pp. 95-102.

BibTeX

@article{95ae634dd9614ce1975635c0208a60e8,
title = "Interval estimation of color parameters from digital images",
abstract = "Influence of the analog-to-digital conversion of an input signal from a sample onto the color rendition of a colorimetric device is studied. It is shown that irrespective of the light source choice, a specific systematic quantization error is introduced to the color rendition. We analyze the quantization error for a color photomatrix with a resolution of 8 bits per channel. An algorithm for finding the interval of values of the dominant wavelength and the color saturation of the sample is developed. It is shown that the similarity of two colors in a sample can be estimated by means of the Jaccard similarity coefficient. The spectral dependence of the intervals of color parameters, calculated from digital images, is found by means of a computing experiment. It is found that lower-brightness colors have a larger interval and are calculated with a lower accuracy. A hypothesis explaining the emergence of MacAdam ellipses on thechromaticity diagramis offered, namely the coding process of the visual neural signals can include procedures similar to the analog-to-digital conversion.",
keywords = "Analog-to-digital conversion, Color, Color measurement, Color rendering, Color vision, Colorimetry, Digital image, Dominant wavelength, RGB-space, Saturation, Signal quantization",
author = "Palchikova, {Irina Georgievna} and Smirnov, {Evgenii Sergeevich}",
year = "2017",
month = jan,
day = "1",
doi = "10.18287/2412-6179-2017-41-1-95-102",
language = "English",
volume = "41",
pages = "95--102",
journal = "Computer Optics",
issn = "0134-2452",
publisher = "Institution of Russian Academy of Sciences, Image Processing Systems Institute of RAS",
number = "1",

}

RIS

TY - JOUR

T1 - Interval estimation of color parameters from digital images

AU - Palchikova, Irina Georgievna

AU - Smirnov, Evgenii Sergeevich

PY - 2017/1/1

Y1 - 2017/1/1

N2 - Influence of the analog-to-digital conversion of an input signal from a sample onto the color rendition of a colorimetric device is studied. It is shown that irrespective of the light source choice, a specific systematic quantization error is introduced to the color rendition. We analyze the quantization error for a color photomatrix with a resolution of 8 bits per channel. An algorithm for finding the interval of values of the dominant wavelength and the color saturation of the sample is developed. It is shown that the similarity of two colors in a sample can be estimated by means of the Jaccard similarity coefficient. The spectral dependence of the intervals of color parameters, calculated from digital images, is found by means of a computing experiment. It is found that lower-brightness colors have a larger interval and are calculated with a lower accuracy. A hypothesis explaining the emergence of MacAdam ellipses on thechromaticity diagramis offered, namely the coding process of the visual neural signals can include procedures similar to the analog-to-digital conversion.

AB - Influence of the analog-to-digital conversion of an input signal from a sample onto the color rendition of a colorimetric device is studied. It is shown that irrespective of the light source choice, a specific systematic quantization error is introduced to the color rendition. We analyze the quantization error for a color photomatrix with a resolution of 8 bits per channel. An algorithm for finding the interval of values of the dominant wavelength and the color saturation of the sample is developed. It is shown that the similarity of two colors in a sample can be estimated by means of the Jaccard similarity coefficient. The spectral dependence of the intervals of color parameters, calculated from digital images, is found by means of a computing experiment. It is found that lower-brightness colors have a larger interval and are calculated with a lower accuracy. A hypothesis explaining the emergence of MacAdam ellipses on thechromaticity diagramis offered, namely the coding process of the visual neural signals can include procedures similar to the analog-to-digital conversion.

KW - Analog-to-digital conversion

KW - Color

KW - Color measurement

KW - Color rendering

KW - Color vision

KW - Colorimetry

KW - Digital image

KW - Dominant wavelength

KW - RGB-space

KW - Saturation

KW - Signal quantization

UR - http://www.scopus.com/inward/record.url?scp=85014958257&partnerID=8YFLogxK

U2 - 10.18287/2412-6179-2017-41-1-95-102

DO - 10.18287/2412-6179-2017-41-1-95-102

M3 - Article

AN - SCOPUS:85014958257

VL - 41

SP - 95

EP - 102

JO - Computer Optics

JF - Computer Optics

SN - 0134-2452

IS - 1

ER -

ID: 10276151