Imaging Components, Systems, and Processing

Improving reflectance reconstruction from tristimulus values by adaptively combining colorimetric and reflectance similarities

[+] Author Affiliations
Bin Cao, Ningfang Liao, Yasheng Li

Beijing Institute of Technology, School of Optoelectronics, Ministry of Education of China, Key Laboratory of Photoelectronic Imaging Technology and System, Beijing, China

Haobo Cheng

Beijing Institute of Technology, School of Optoelectronics, Ministry of Education of China, Key Laboratory of Photoelectronic Imaging Technology and System, Beijing, China

Shenzhen Research Institute, Beijing Institute of Technology, Shenzhen, China

Opt. Eng. 56(5), 053104 (May 13, 2017). doi:10.1117/1.OE.56.5.053104
History: Received October 19, 2016; Accepted April 19, 2017
Text Size: A A A

Abstract.  The use of spectral reflectance as fundamental color information finds application in diverse fields related to imaging. Many approaches use training sets to train the algorithm used for color classification. In this context, we note that the modification of training sets obviously impacts the accuracy of reflectance reconstruction based on classical reflectance reconstruction methods. Different modifying criteria are not always consistent with each other, since they have different emphases; spectral reflectance similarity focuses on the deviation of reconstructed reflectance, whereas colorimetric similarity emphasizes human perception. We present a method to improve the accuracy of the reconstructed spectral reflectance by adaptively combining colorimetric and spectral reflectance similarities. The different exponential factors of the weighting coefficients were investigated. The spectral reflectance reconstructed by the proposed method exhibits considerable improvements in terms of the root-mean-square error and goodness-of-fit coefficient of the spectral reflectance errors as well as color differences under different illuminants. Our method is applicable to diverse areas such as textiles, printing, art, and other industries.

Figures in this Article
© 2017 Society of Photo-Optical Instrumentation Engineers

Citation

Bin Cao ; Ningfang Liao ; Yasheng Li and Haobo Cheng
"Improving reflectance reconstruction from tristimulus values by adaptively combining colorimetric and reflectance similarities", Opt. Eng. 56(5), 053104 (May 13, 2017). ; http://dx.doi.org/10.1117/1.OE.56.5.053104


Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.