JSW 2013 Vol.8(4): 939-946 ISSN: 1796-217X
doi: 10.4304/jsw.8.4.939-946
doi: 10.4304/jsw.8.4.939-946
Improvement for Spectral Reconstruction Accuracy of Trichromatic Digital Camera
Songhua He1, Bo Li2
1Institute of Light Science and Technology, NanJing Forestry University, Nanjing, China
2Institute of Media and Communication, Shenzhen Polytechnic, Shenzhen, China
Abstract—Trichromatic digital camera has been used for spectral imaging, but spectral reconstructive accuracy is poor if actual digital responses are directly used in linear imaging model. The linearity of Nikon D700 is analyzed, and a new radiation intensity-based linearization technique is put forward, whose performance is verified and compared with other linearization methods. For nonlinear imaging system, the polynomial regression is verified which is more appropriate than other algorithms based on linear imaging system. Especially, if actual digital camera responses are linearized firstly, the accuracy of model can be improved greatly.
Index Terms—Linearization, spectral reconstruction, polynomial regression method.
2Institute of Media and Communication, Shenzhen Polytechnic, Shenzhen, China
Abstract—Trichromatic digital camera has been used for spectral imaging, but spectral reconstructive accuracy is poor if actual digital responses are directly used in linear imaging model. The linearity of Nikon D700 is analyzed, and a new radiation intensity-based linearization technique is put forward, whose performance is verified and compared with other linearization methods. For nonlinear imaging system, the polynomial regression is verified which is more appropriate than other algorithms based on linear imaging system. Especially, if actual digital camera responses are linearized firstly, the accuracy of model can be improved greatly.
Index Terms—Linearization, spectral reconstruction, polynomial regression method.
Cite: Songhua He, Bo Li, "Improvement for Spectral Reconstruction Accuracy of Trichromatic Digital Camera," Journal of Software vol. 8, no. 4, pp. 939-946, 2013.
General Information
ISSN: 1796-217X (Online)
Frequency: Quarterly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKI, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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