Measuring perceived color difference using YIQ NTSC transmission color space in mobile applications

Authors

  • Yuriy Kotsarenko TECNOLOGICO DE DE MONTERREY, CAMPUS CUERNAVACA.
  • Fernando Ramos-Quintana TECNOLOGICO DE DE MONTERREY, CAMPUS CUERNAVACA.

DOI:

https://doi.org/10.30973/progmat/2010.2.2/3

Keywords:

Color difference, color metric, YIQ, Perceptual uniformity, Color space

Abstract

An alternative color difference formulas are presented for measuring the perceived difference between two color samples defined in YIQ color space. The classical color difference formulas such as CIELAB, CIELUV and their derivatives require many arithmetic transformations of the input values commonly given using red, green and blue components, making these formulas cumbersome to implement on mobile devices. The alternative formulas based on YIQ color space presented in this work are lightweight and can be quickly calculated, even in real-time. The comparison is made between the newly introduced formulas and the classical ones using two different sets of experiments. The first set of experiments is focused on evaluating the perceived difference of colors using different formulas for picking colors. The second set of experiments allows benchmarking of the color difference formulas to evaluate their performance when processing images. The experimental results show that the newly introduced formulas are close in perceived terms to CIELAB and CIELUV but are significantly faster, making them good candidates for measuring color difference on mobile devices and applications even in real-time.

Author Biographies

Yuriy Kotsarenko, TECNOLOGICO DE DE MONTERREY, CAMPUS CUERNAVACA.

Se graduó como Ingeniero en Sistemas Computacionales en el ITESM, Campus Cuernavaca en Diciembre del 2004. Ahí mismo se graduó como Maestro en Ciencias Computacionales en el Diciembre del 2006 con la tesis “Perceptual Color Similarity Measurement”. Actualmente es alumno de posgrado, candidato a graduación como Doctor en Ciencias Computacionales en la misma institución. Su tesis doctoral esta asesorado por el Dr. Fernando Ramos Quintana. Su especialización incluye gráficos computacionales, visión computacional y óptica. También es experto en el desarrollo de software corriendo su propia empresa de desarrollo de software y video juegos.

Fernando Ramos-Quintana, TECNOLOGICO DE DE MONTERREY, CAMPUS CUERNAVACA.

Director del Programa de Graduados en Informática y Computación del ITESM, Campus Cuernavaca. Su especialización incluye optimización combinatoria, comunicaciones inalámbricas, robótica cooperativa y bioinformática. Dirige múltiples proyectos de investigación, incluyendo investigación de modelos computacionales formales para la regulación genética, bioremediación de suelos, aguas y cultivos contaminados con plaguicidas utilizando la enzima esterasa de la garrapata Boophilus el Microplus en la levadura Kluyveromyces Lactis, robótica médica entre otros

References

Hill, Francis S. Computer Graphics using OpenGL. Prentice Hall, 2000.

Poynton, Charles. Digital Video and HDTV Algorithms and Interfaces. Morgan Kaufmann, 2003.

Riemersma, Thiadmer. "Colour metric.". CompuPhase. May 26, 2008. http://www.compuphase.com/cmetric.htm (accessed October 26, 2008).

Schanda, Janos. Colorimetry: Understanding the CIE system. Wiley Interscience, 2007.

Daniel Malacara-Hernandez. “Color Vision and Colorimetry: Theory and Applications”, April 2002. SPIE Press Book.

Henry R. Kang. “Computational Color Technology”. May 2006. SPIE Press Book.

"Recommendation ITU-R BT.709-5." Parameter values for the HDTV standards for production and international programme exchange. International Telecommunication Union, 2008.

Poynton, Charles. "Frequently-Asked Questions about Color." Charles Poynton Web Site. November 28, 2006. http://www.poynton.com/ColorFAQ.html (accessed October 22, 2008).

Granger, E. M. "Is CIE L*a*b* Good Enough for Desktop Publishing?" Proceedings of SPIE, the International Society for Optical Engineering (Society of Photo-Optical Instrumentation Engineers) 2170 (1994): 144-148.

Melgosa, M., J. J. Quesada, and E. Hita. "Uniformity of some recent color metrics tested with an accurate color-difference tolerance dataset." Applied Optics (Optical Society of America) 33, no. 34 (1994): 8069-8077.

Luo, M. R., G. Cui, and B. Rigg. "The Development of the CIE 2000 Colour-Difference Formula: CIEDE2000." Color Research & Application 26, no. 5 (2001): 340-350.

Sharma, Gaurav, Wencheng Wu, and Edul N. Dalal. "The CIEDE2000 Color-Difference Formula: Implementation Notes, Supplementary Test Data, and Mathematical Observations." Color Research and Application 30, no. 1 (February 2005): 21-30.

Imai, F. H., N. Tsumura, and Y. Miyake. "Perceptual color difference metric for complex images based on Mahalanobis distance." Journal of Electronic Imaging 10, no. 2 (2001): 385-393.

Carter, Robert C., and Ellen C. Carter. "CIE L*u*v* Color-Difference Equations for Self-Luminous Displays." Color Research & Application, 1983: 252-253.

Büring, Hendrik. "Eigenschaften des Farbenraumes nach DIN 6176 (DIN99-Formel) und seine Bedeutung für die industrielle Anwendung." 8. Workshop Farbbildverarbeitung der German Color Group, October 2002: 11-17.

Cui, G., M. R. Luo, B. Rigg, G. Roestler, and K. Witt. "Uniform Colour Spaces Based on the DIN99 Colour-Difference Formula." Color Research & Application 27, no. 4 (2002): 282-290.

Luo, M. R., G. Cui, and B. Rigg. "The Guth, Lee S. "Further Applications of the ATD Model for Color Vision." Proc. SPIE (The International Society for Optical Engineering) 2414 (April 1995): 12-26.

MacAdam, David L. "Visual Sensitivities to Color (Journal Differences of the in Optical Daylight." Society of America) 32, no. 5 (May 1942): 247-273.

Sarifuddin, M., and Rokia Missaoui. "A New Perceptually Uniform Color Space with Associated Color Similarity Measure for Content-Based Image and Video Retrieval." ACM SIGIR Workshop on Multimedia Information Retrieval, Salvador, Brazil, 2005.

Hearn, Donald, and Pauline M. Baker. Computer Graphics, C Version. Prentice Hall, 1996.

Pratt, William Processing. 3rd K. Digital Image Edition. Wiley- Interscience, 2001.

Kotsarenko, Yuriy. “Quality measurement of existing color metrics using hexagonal color fields.” 7º Congreso Internacional de Cómputo en Optimización y Software, Cuernavaca, Mexico, 2009.

Downloads

Published

2010-12-30

How to Cite

Kotsarenko, Y., & Ramos-Quintana, F. (2010). Measuring perceived color difference using YIQ NTSC transmission color space in mobile applications. Programación Matemática Y Software, 2(2), 27–43. https://doi.org/10.30973/progmat/2010.2.2/3