A study of spectral reflectance reconstruction using the weighted fitting algorithm based on the Sino Colour Book

Abstract

The spectral reflectance of a colour is its most essential characteristic, and it does not change with changes of equipment or light source. Therefore, the reconstruction of spectral reflectance from parameters such as colour tristimulus value and RGB has attracted the attention of researchers. To avoid the occurrence of metamerism in the colour reproduction process and to achieve the purpose of colour spectral reproduction, the spectral reflectance and the optimal parameters of the reconstruction using the weighted fitting method were discussed experimentally with the colour data measured from the Sino Colour Book as the research object. The results show that the best results are obtained when the weighted fitting parameters are weighted by the third power and eight colour samples are involved in the fitting. The reconstructed spectral reflectance obtained by the weighted fitting method has little variation and high overlap with the actual spectral reflectance obtained at each hue and lightness, thus meets the requirements of practical applications.

Digital Grading the Color Fastness to Rubbing of Fabrics Based on Spectral Reconstruction and BP Neural Network

“…The response of each channel is no longer linear after processing the raw image but is better represented by a more complex non-linear law. Additionally, the post-processing methods of different camera manufacturers often differ and are difficult to accurately simulate or describe, making it challenging to model post-processing steps accurately [27,28]. In this study, the spectral characterization of a digital camera is carried out utilizing a traditional polynomial-based regularized pseudo-inverse technique [29].…”