The metamer boundary descriptor method for color correction

Color correction describes the transformation process between device response values, e.g., RGB, and CIE XYZ or CIE L*a*b* values, respectively. In every metamer color reproduction system this is the first color transformation after image acquisition. In general, this mapping is not unique because the spectral sensitivities of the majority of devices do not satisfy the Luther condition and the acquisition and viewing light sources typically have different power spectra. Hence, there exists a set of colors with different reflectance spectra which result in the same device response (device metamerism), but have different CIE XYZ tristimulus values for an observer under the viewing light source. In this publication we present a new method to determine this metamer subspace (which depends on the device response) in the viewing CIE L*a*b* space by calculating a Metamer Boundary Descriptor (MBD) matrix. This MBD matrix approximately describes the metamer subspace by storing its boundary points in every entry. By calculating the center of gravity of this MBD we obtain a good color choice in the sense of a small mean error. To calculate the entries of the MBD we use a priori knowledge about the physics of natural reflectance spectra and a linear programming technique. This method improves the performance of target- and regression-based methods especially for saturated colors. We present the results of simulation experiments including a comparison with existing methods.

[1]  G.D. Finlayson,et al.  Error-less colour correction , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

[2]  Gaurav Sharma Target-less Scanner Color Calibration , 1999, Color Imaging Conference.

[3]  Graham D. Finlayson,et al.  Intensity Constrained Error-Less Colour Correction , 2004, Color Imaging Conference.

[4]  Sanjay Mehrotra,et al.  On the Implementation of a Primal-Dual Interior Point Method , 1992, SIAM J. Optim..

[5]  Graham D. Finlayson,et al.  Recovering Device Sensitivities with Quadratic Programming , 1998, Color Imaging Conference.

[6]  Philipp Urban,et al.  Color Correction by Calculating a Metamer Boundary Descriptor , 2004, CGIV.

[7]  Gaurav Sharma,et al.  Characterization of Scanner Sensitivity , 1993, Color Imaging Conference.

[8]  Gaurav Sharma Set theoretic estimation for problems in subtractive color , 2000 .

[9]  H. Trussell Applications of set theoretic methods to color systems , 1991 .

[10]  Noboru Ohta,et al.  Theoretical chromaticity-mismatch limits of metamers viewed under different illuminants , 1975 .

[11]  Mark S. Drew,et al.  Constrained least-squares regression in color spaces , 1997, J. Electronic Imaging.

[12]  Gaurav Sharma Digital Color Imaging Handbook , 2002 .

[13]  Patrick G. Herzog,et al.  Colorimetric characterization of novel multiple-channel sensors for imaging and metrology , 1999, J. Electronic Imaging.

[14]  G. Wyszecki,et al.  Color Science Concepts and Methods , 1982 .

[15]  H. Joel Trussell,et al.  Color scanner calibration via a neural network , 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

[16]  W. Stiles,et al.  Counting metameric object-color stimuli using frequency-limited spectral reflectance functions , 1977 .

[17]  Peter Morovic,et al.  Metamer constrained color correction , 2000 .

[18]  R. Berns,et al.  A Comparative Analysis of Spectral Reflectance Estimated in Various Spaces Using a Trichromatic Camera System , 2000, Journal of Imaging Science and Technology.

[19]  Po-chieh Hung,et al.  Colorimetric calibration for scanners and media , 1991, Electronic Imaging.

[20]  Gaurav Sharma,et al.  Set theoretic estimation in color scanner characterization , 1996, J. Electronic Imaging.

[21]  H. Joel Trussell,et al.  Optimal color filters in the presence of noise , 1995, IEEE Trans. Image Process..

[22]  Ron Gershon,et al.  Measurement and Analysis of Object Reflectance Spectra , 1994 .

[23]  Jon Y. Hardeberg,et al.  On the spectral dimensionality of object colours , 2002, CGIV.

[24]  J. Cohen,et al.  Color Mixture and Fundamental Metamers: Theory, Algebra, Geometry, Application , 1985 .

[25]  Patrick G. Herzog,et al.  On the Limitations of Metameric Imaging , 1999, PICS.