Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/4372
| Title: | Spectral characterization of a color scanner by adaptive estimation | Authors: | Shen, HL Xin, JH |
Issue Date: | 1-Jul-2004 | Source: | Journal of the Optical Society of America. A, Optics, image science, and vision, 1 July 2004, v. 21, no. 7, p. 1125-1130 | Abstract: | A new method of spectral characterization for color scanners by the use of adaptive estimation is proposed. It deals with estimation of high-dimensional reflectance vectors from low-dimensional scanner response vectors when the scanner departs from linearity. We first investigate the spectral linearity of the scanner, and then estimate the spectral reflectance adaptively based on the local statistics of a set of neighboring training samples. As the proposed characterization method does not utilize the mathematically recovered spectral responsivity, its inherent inaccuracy is not critical to the spectral characterization. Experimental results showed significant advantage of adaptive estimation when compared with other methods. | Keywords: | Calculations Color image processing Estimation Mathematical models Matrix algebra Scanning Spectrum analysis Statistical methods Vectors |
Publisher: | Optical Society of America | Journal: | Journal of the Optical Society of America. A, Optics, image science, and vision | ISSN: | 1084-7529 | EISSN: | 1520-8532 | DOI: | 10.1364/JOSAA.21.001125 | Rights: | © 2004 Optical Society of America. This paper was published in Journal of the Optical Society of America A and is made available as an electronic reprint with the permission of OSA. The paper can be found at the following URL on the OSA website: http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-21-7-1125. Systematic or multiple reproduction or distribution to multiple locations via electronic or other means is prohibited and is subject to penalties under law. |
| Appears in Collections: | Journal/Magazine Article |
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|---|---|---|---|---|
| Shen_Spectral_characterization_color.pdf | 357.42 kB | Adobe PDF | View/Open |
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