Abstract
We propose two methods for recovering the reflectance spectra of given colorimetric data by using the nonnegative constraints in reflectance spectra. We formulate the problem of reflectance spectra recovery as a non-negative least squares problem and solve it with two iterative methods. Experimental results demonstrate that the two methods give similar recovery results, where Macbeth ColorChecker data are used for recovering the reflectance spectra of Neugebauer primary colors. We also transform the recovered reflectance spectra into tristimulus values to visualize them, where an ad hoc scaling operation is introduced for brightening the recovered colors.
| Original language | English |
|---|---|
| Title of host publication | 2016 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781509006298 |
| DOIs | |
| Publication status | Published - Jan 18 2017 |
| Event | 2016 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2016 - Phuket, Thailand Duration: Oct 24 2016 → Oct 27 2016 |
Publication series
| Name | 2016 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2016 |
|---|
Other
| Other | 2016 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2016 |
|---|---|
| Country | Thailand |
| City | Phuket |
| Period | 10/24/16 → 10/27/16 |
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All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Signal Processing
- Instrumentation
Cite this
Reflectance spectra recovery with non-negativity constraints. / Inoue, Kohei; Hara, Kenji; Urahama, Kiichi.
2016 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2016. Institute of Electrical and Electronics Engineers Inc., 2017. 7824687 (2016 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2016).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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TY - GEN
T1 - Reflectance spectra recovery with non-negativity constraints
AU - Inoue, Kohei
AU - Hara, Kenji
AU - Urahama, Kiichi
PY - 2017/1/18
Y1 - 2017/1/18
N2 - We propose two methods for recovering the reflectance spectra of given colorimetric data by using the nonnegative constraints in reflectance spectra. We formulate the problem of reflectance spectra recovery as a non-negative least squares problem and solve it with two iterative methods. Experimental results demonstrate that the two methods give similar recovery results, where Macbeth ColorChecker data are used for recovering the reflectance spectra of Neugebauer primary colors. We also transform the recovered reflectance spectra into tristimulus values to visualize them, where an ad hoc scaling operation is introduced for brightening the recovered colors.
AB - We propose two methods for recovering the reflectance spectra of given colorimetric data by using the nonnegative constraints in reflectance spectra. We formulate the problem of reflectance spectra recovery as a non-negative least squares problem and solve it with two iterative methods. Experimental results demonstrate that the two methods give similar recovery results, where Macbeth ColorChecker data are used for recovering the reflectance spectra of Neugebauer primary colors. We also transform the recovered reflectance spectra into tristimulus values to visualize them, where an ad hoc scaling operation is introduced for brightening the recovered colors.
UR - http://www.scopus.com/inward/record.url?scp=85015062432&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85015062432&partnerID=8YFLogxK
U2 - 10.1109/ISPACS.2016.7824687
DO - 10.1109/ISPACS.2016.7824687
M3 - Conference contribution
AN - SCOPUS:85015062432
T3 - 2016 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2016
BT - 2016 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2016
PB - Institute of Electrical and Electronics Engineers Inc.
ER -