Automatic morphology-based cubic p-spline fitting methodology for smoothing and baseline-removal of Raman spectra

Juan José González-Vidal, Rosanna Pérez-Pueyo, María José Soneira
2017 Journal of Raman Spectroscopy  
Aquesta és una còpia de la versió draft d'un article publicat a Journal of Raman spectroscopy http://hdl.handle.net/2117/104280 This is the peer reviewed version of the following article: González-Vidal, J.J., Perez-Pueyo, R., Soneira, M.J. Automatic morphologybased cubic p-spline fitting methodology for smoothing and baseline-removal of Raman spectra. Abstract Noise filtering is considered a crucial step for the proper interpretation of Raman spectra. In this work, we present a new denoising
more » ... ocedure which enhances the Raman information while reducing unwanted contributions from the most frequent noise sources, i.e. the shot noise and the fluorescence's baseline. The procedure increases the signal-to-noise ratio while preserving simultaneously the shapes, positions and intensity ratios of the Raman bands. The method relies on cubic p-spline fitting and mathematical morphology, and requires no user input. We describe the details of this method and include a benchmark to study the performance of the presented approach compared to the most commonly used denoising techniques. The method has been successfully applied to improve the signal quality of Raman spectra from artistic pigments. The reliable results that were obtained make the methodology a useful tool to help the analyst in the interpretation of Raman spectra from pigments in art works.
doi:10.1002/jrs.5130 fatcat:tuyyv7rqxbhb3oenql32qejzbm