Literature DB >> 18758551

Improving the performance of computer color matching procedures.

A Karbasi1, S Moradian, S Asiaban.   

Abstract

A premise was set up entailing the possibility of a synergistical combination of advantages of spectrophotometric and colorimetric matching procedures. Attempts were therefore made to test the performances of fifteen matching procedures, all based on the Kubelka-Munk theory, including two procedures utilizing the fundamental color stimulus R(FCS) of the spectral decomposition theory. Color differences CIE DeltaE(00) as well as concentration differences DeltaC(AVE) were used to theoretically rank the fifteen color matching procedures. Results showed that procedures based on R(FCS) were superior in accurately predicting colors and concentrations. Additionally, the metameric black component R(MB) of the decomposition theory also showed promise in predicting degrees of metamerism. This preliminary study, therefore, provides evidence for the premise of this investigation.

Year:  2008        PMID: 18758551     DOI: 10.1364/josaa.25.002251

Source DB:  PubMed          Journal:  J Opt Soc Am A Opt Image Sci Vis        ISSN: 1084-7529            Impact factor:   2.129


  1 in total

1.  Optimal Learning Samples for Two-Constant Kubelka-Munk Theory to Match the Color of Pre-colored Fiber Blends.

Authors:  Junfeng Li; Dehong Xie; Miaoxin Li; Shiwei Liu; Chun'Ao Wei
Journal:  Front Neurosci       Date:  2022-07-01       Impact factor: 5.152

  1 in total

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