Author

Eric Walowit

Abstract

A new approach to computer color formulation based on non-linear least-squares techniques has been developed to characterize colorants and predict their behavior in mixtures. This approach allows the optimization of absorption and scattering calculations to characterize these colorants. This same method has been used to directly match the spectral reflectance of a standard with a mixture of colorants that yields nearly the same spectral reflectance as the standard being matched. Several advantages have been gained over more traditional methods: Kubelka-Munk K and S has been determined without primary binary blends, the spectral reflectance of the standard and proposed formulation exhibit lower spectral difference, the use of spectrally similar colorants has been improved and, formulations can now be predicted for standards measured over wavelength regions other than the visible spectrum.

Library of Congress Subject Headings

Spectrophotometry--Data processing; Colors--Analysis; Color in the textile industries; Least squares

Publication Date

4-12-1985

Document Type

Thesis

Student Type

Undergraduate

Degree Name

Imaging Science (BS)

Department, Program, or Center

School of Photographic Arts and Sciences (CIAS)

Advisor

Cornelius McCarthy

Advisor/Committee Member

Roy Berns

Comments

Physical copy available from RIT's Wallace Library at QD117.S64W34 1985

Campus

RIT – Main Campus

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