Study of the reconstruction of reflectance curves based on tristimulus values: Comparison of methods of optimization

Dupont, Daniel

doi:10.1002/col.10031

Cited by 52 publications

(39 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…6 Finally, as one of the referees pointed out, the Hawkyard method (original and modified) can sometimes generate reflectance with some of the components below 0 or above 1. This can be avoided 6 in practice by forcing them to be 0 or 1 with the original iteration form. This practice seems workable, though there is no theory to ensure convergence.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Improving the Hawkyard method for generating reflectance functions

Wang

Luo

2005

Color Research & Application

View full text Add to dashboard Cite

Section: Discussionmentioning

confidence: 99%

“…The Berns method is simpler, but the results from Hawkyard 2 and Dupont 6 showed that the generated reflectance functions from the Berns method are not smooth when compared with those generated by the Hawkyard method; hence, they may not be colour constants. Comparing Eqs.…”

Section: The Berns Methodsmentioning

confidence: 99%

Improving the Hawkyard method for generating reflectance functions

Wang

Luo

2005

Color Research & Application

View full text Add to dashboard Cite

“…However, the tristimulus system of color loses great amount of color information. In contrast, the spectral data can store more useful information for color reproduction as well as for color specification under different viewing conditions, which is widely used in many fields [1][2][3][4].…”

Section: Introductionmentioning

confidence: 99%

SR-LLA: A novel spectral reconstruction method based on locally linear approximation

Zhang

et al. 2013

2013 IEEE International Conference on Image Processing

View full text Add to dashboard Cite

Compared with tristimulus, spectrum contains much more information of a color, which can be used in many fields, such as disease diagnosis and material recognition. In order to get an accurate and stable reconstruction of spectral data from a tristimulus input, a method based on locally linear approximation is proposed in this paper, namely SR-LLA. To test the performance of SR-LLA, we conduct experiments on three Munsell databases and present a comprehensive analysis of its accuracy and stability. We also compare the performance of SR-LLA with the other two spectral reconstruction methods based on BP neural network and PCA, respectively. Experimental results indicate that SR-LLA could outperform other competitors in terms of both accuracy and stability for spectral reconstruction.

show abstract

“…This type of application has been extended very rapidly and needs accurate representation of the color of physical samples in different media, such as monitors and printed papers. 5 However, the reflectance data of surfaces are not available in some cases. For instance, the spectral data are inaccessible when a tristimulus colorimeter rather than a more expensive spectrophotometer is used.…”

mentioning

confidence: 99%

Reconstruction of reflectance data by modification of Berns' Gaussian method

Attarchi

Amirshahi

2008

Color Research & Application

View full text Add to dashboard Cite

Berns' method for the synthesis of spectral reflectance curve from the tristimulus color coordinates is modified. Firstly, the Gaussian bell shape red primary is replaced with a sigmoidal one to solve the dissimilarity between the spectral curves at the end region of spectrum. Secondly, three predetermined Gaussian primaries used in the original Berns' method are replaced by the adaptive ones which their half-height bandwidths vary with the tristimulus values of the desired color. The mentioned modifications are applied for the recovery of the reflectance curves of 1409 surface colors (including 1269 Munsell color chips and 140 samples of Colorchecker SG) and also 204 textile samples. Results of recovery are evaluated by the mean and the maximum color difference values under other standard light sources. The mean as well as the maximum of root mean squares between the reconstructed and the actual spectra are also calculated. The modifications are compared with the common principal component analysis (PCA) as well as Hawkyard's methods for recovery of reflectance factor. Although the PCA leads to the best results, the modifications significantly improve the recovery outcomes in comparison with the original Berns method.

show abstract

Study of the reconstruction of reflectance curves based on tristimulus values: Comparison of methods of optimization

Cited by 52 publications

References 27 publications

Improving the Hawkyard method for generating reflectance functions

Improving the Hawkyard method for generating reflectance functions

SR-LLA: A novel spectral reconstruction method based on locally linear approximation

Reconstruction of reflectance data by modification of Berns' Gaussian method

Contact Info

Product

Resources

About