RT Journal Article
T1 Colorimetric matching by minimum-square-error fitting
A1 Quiroga Mellado, Juan Antonio
A1 Alonso Fernández, José
A1 Zoido, J.
A1 Bernabeu Martínez, Eusebio
AB Least-squares approximation can be used in image-based colorimetry once the set of sampling functions is selected. We discuss the accuracy obtained in earlier research, and we compare it with a better calculation method.
PB The Optical Society of America
SN 0003-6935
YR 1994
FD 1994-09-10
LK https://hdl.handle.net/20.500.14352/58804
UL https://hdl.handle.net/20.500.14352/58804
LA eng
NO 1. D. H. Marimont and B. A. Wandell, "Linear models of surface and illuminant spectraº J. Opt. Soc. Am. A 9, 1905-1913 (1993).2. W. K. Pratt, Digital Image Processing (Wiley, New York, 1991), Chaps. 12 and 13.3. K. Engelhardt and P. Seitz, "Optimum color filters for CCD digital cameras”, Appl. Opt. 32, 3015-3023 (1993).4. M. L. Simpson and J. F. Jansen, "Imaging colorimetry: a new approach”, Appl. Opt. 30, 4666-4671 (1991).5. G. Wyszecki and W. S. Stiles, Color Science: Concepts and Methods, Quantitative Data and Formulae, 2nd ed. (Wiley, New York, 1982), Chap. 3, p. 166.
NO © 1994 Optical Society of America.
DS Docta Complutense
RD 27 abr 2024