Color-quality control using color-difference formulas: progress and problems

We report on some recent advances in industrial color-difference evaluation focused in three main fields: Development of reliable experimental visual datasets; proposal of new color spaces and color-difference formulas; tools to evaluate the merits of color-difference formulas. The use of fuzzy techniques to assign consistency degrees to color pairs in combined visual datasets is described. The CIE/ISO joint proposal of the CIEDE2000 color-difference formula as a standard will facilitate the communication among companies and users. The CIE recommendation of the STRESS index to assess observers’ variability and relative merits of different color-difference formulas is reported. Power functions are an efficient method to improve the performance of modern color-difference formulas. We need of advanced color-difference formulas accounting for new materials with different kind of textures and gonioapparent effects.

[1]  S. S. Stevens On the psychophysical law. , 1957, Psychological review.

[2]  Guihua Cui,et al.  Practical demonstration of the CIEDE2000 corrections to CIELAB using a small set of sample pairs , 2012 .

[3]  Guihua Cui,et al.  Measurement of the relationship between perceived and computed color differences. , 2007, Journal of the Optical Society of America. A, Optics, image science, and vision.

[4]  M. Luo,et al.  Uniform colour spaces based on CIECAM02 colour appearance model , 2006 .

[5]  A. Robertson Historical development of CIE recommended color difference equations , 1990 .

[6]  B. Rigg,et al.  BFD COLOUR - DIFFERENCE FORMULA PART1-DEVELOPMENT OF THE FORMULA , 1987 .

[7]  B. Rigg,et al.  Modification to the JPC79 Colour–difference Formula , 2008 .

[8]  Klaus Witt Cie guidelines for coordinated future work on industrial colour‐difference evaluation , 1995 .

[9]  Eric Kirchner,et al.  Performance measures of color-difference equations: correlation coefficient versus standardized residual sum of squares , 2011 .

[10]  Samuel Morillas,et al.  Method to determine the degrees of consistency in experimental datasets of perceptual color differences. , 2016, Journal of the Optical Society of America. A, Optics, image science, and vision.

[11]  Samuel Morillas,et al.  Fuzzy analysis for detection of inconsistent data in experimental datasets employed at the development of the CIEDE2000 colour-difference formula , 2009 .

[12]  Mitchell R. Balonon-Rosen,et al.  Visual determination of suprathreshold color‐difference tolerances using probit analysis , 1991 .

[13]  R. Huertas,et al.  Performance of a color-difference formula based on OSA-UCS space using small-medium color differences. , 2006, Journal of the Optical Society of America. A, Optics, image science, and vision.

[14]  Rolf G. Kuehni,et al.  CIEDE2000, milestone or final answer? , 2002 .

[15]  R. Berns,et al.  Relative significance of the terms in the CIEDE2000 and CIE94 color-difference formulas. , 2004, Journal of the Optical Society of America. A, Optics, image science, and vision.

[16]  Guihua Cui,et al.  Testing uniform colour spaces and colour-difference formulae using printed samples† , 2012 .

[17]  D. L. Macadam Visual Sensitivities to Color Differences in Daylight , 1942 .

[18]  B. Rigg,et al.  Uniform Chromaticity Scales — New Experimental Data , 2008 .

[19]  Guihua Cui,et al.  Uniform colour spaces based on the DIN99 colour‐difference formula , 2002 .

[20]  Guihua Cui,et al.  Notes on the application of the standardized residual sum of squares index for the assessment of intra- and inter-observer variability in color-difference experiments. , 2011, Journal of the Optical Society of America. A, Optics, image science, and vision.

[21]  S. Shen Color difference formula and uniform color space modeling and evaluation , 2009 .

[22]  M. Luo,et al.  Revisiting the weighting function for lightness in the CIEDE2000 colour‐difference formula , 2017 .

[23]  Rafael Huertas,et al.  Euclidean color-difference formula for small-medium color differences in log-compressed OSA-UCS space. , 2009, Journal of the Optical Society of America. A, Optics, image science, and vision.

[24]  Roy S. Berns,et al.  Introducing WLab—Going from Wpt (Waypoint) to a uniform material color equivalency space , 2015 .

[25]  Brian A. Wandell,et al.  A spatial extension of CIELAB for digital color‐image reproduction , 1997 .

[26]  David Hinks,et al.  Development of a comprehensive visual dataset based on a CIE blue color center: Assessment of color difference formulae using various statistical methods , 2011 .

[27]  Mark D. Fairchild,et al.  A top down description of S-CIELAB and CIEDE2000 , 2003 .

[28]  G. Wyszecki,et al.  New color-matching ellipses. , 1971, Journal of the Optical Society of America.

[29]  Guihua Cui,et al.  Assessing total differences for effective samples having variations in color, coarseness, and glint , 2010 .

[30]  Guihua Cui,et al.  Color-difference evaluation for digital images using a categorical judgment method. , 2013, Journal of the Optical Society of America. A, Optics, image science, and vision.

[31]  M. H. Brill,et al.  Color Appearance Models, 2nd Edition , 2005 .

[32]  Dong-Ho Kim,et al.  The ULAB colour space , 2015 .

[33]  Guihua Cui,et al.  Evaluation of threshold color differences using printed samples. , 2012, Journal of the Optical Society of America. A, Optics, image science, and vision.

[34]  M. Luo Development of colour-difference formulae , 2002 .

[35]  M. Melgosa,et al.  COLOR DISCRIMINATION RESULTS FROM A CRT DEVICE : INFLUENCE OF LUMINANCE , 1999 .

[36]  Rafael Huertas,et al.  Influence of random-dot textures on perception of suprathreshold color differences. , 2006, Journal of the Optical Society of America. A, Optics, image science, and vision.

[37]  Roy S. Berns,et al.  RIT‐DuPont supra‐threshold color‐tolerance individual color‐difference pair dataset , 2009 .

[38]  Guihua Cui,et al.  Power functions improving the performance of color-difference formulas. , 2015, Optics express.

[39]  Guihua Cui,et al.  Evaluation of Colour-difference Formulae for Different Colour-difference Magnitudes , 2008, CGIV/MCS.

[40]  Thomas Dauser,et al.  Measuring color differences in automotive samples with lightness flop: a test of the AUDI2000 color-difference formula. , 2014, Optics express.

[41]  G. G. Attridge,et al.  Some aspects of the visual scaling of large colour differences , 1997 .

[42]  M. Luo,et al.  Chromaticity‐discrimination ellipses for surface colours , 1986 .

[43]  Manuel Melgosa Request for existing experimental datasets on color differences , 2007 .

[44]  M. Ronnier Luo,et al.  Investigation of parametric effects using small colour differences , 1999 .

[45]  K. Witt GEOMETRIC RELATIONS BETWEEN SCALES OF SMALL COLOUR DIFFERENCES , 1999 .

[46]  M. Luo,et al.  The development of the CIE 2000 Colour Difference Formula , 2001 .

[47]  Renzo Shamey,et al.  Evaluation of performance of various color‐difference formulae using an experimental black dataset , 2014 .

[48]  J. Schanda,et al.  Colorimetry : understanding the CIE system , 2007 .

[49]  M. Melgosa Testing CIELAB-Based Color-Difference Formulas , 2000 .

[50]  Rafael Huertas,et al.  Performance of recent advanced color-difference formulas using the standardized residual sum of squares index. , 2008, Journal of the Optical Society of America. A, Optics, image science, and vision.

[51]  S. G. Lee,et al.  Performance of select color-difference formulas in the blue region. , 2014, Journal of the Optical Society of America. A, Optics, image science, and vision.

[52]  C. Fernandez-Maloigne Advanced Color Image Processing and Analysis , 2012 .