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Published in:
2016 | OriginalPaper | Chapter
5. A Method for Reconstructing Surface Spectral Reflectance in Spectral Reproduction Workflow
Authors : Ping Yang, Sensen Huang, Wangjian Qiu, Qianyun Ma, Qiang Wang, Hong Song
Published in: Advanced Graphic Communications, Packaging Technology and Materials
Publisher: Springer Singapore
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Abstract
In spectral color reproduction workflow, it is of key importance to reconstruct the spectral reflectance of a surface using digital cameras under given luminance and observation conditions. A new approach for solving the problem which is based on neural network and basis vectors is proposed. Compared with other traditional methods, neural network expands the space of unknown function from linear functions to more general nonlinear functions, which gives more accurate estimation of the coefficients and better reflectance reconstruction. Results show that the reflectance of standard Munsell color patch (Matte) can be reconstructed. Compared with linear approximation method, reconstruction of standard Munsell color patch (Matte) using this approach reduces the reconstruction error. Therefore, we conclude that this approach has advantages of higher accuracy, fast implementation, and adaptation, thus can be used in arts reproduction and museum art collection, etc.