Super-resolution and Raman chemical imaging: From multiple low resolution images to a high resolution image
| Autor: | Ludovic Duponchel, Jean-Pierre Huvenne, Peyman Milanfar, Cyril Ruckebusch |
|---|---|
| Přispěvatelé: | Laboratoire Avancé de Spectroscopie pour les Intéractions la Réactivité et l'Environnement - UMR 8516 (LASIRE), Institut de Chimie du CNRS (INC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille Institut (CLIL), Multi-Dimensional Signal Processing Laboratory, University of California [Santa Cruz] (UCSC), University of California-University of California, Institut de Chimie du CNRS (INC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), University of California [Santa Cruz] (UC Santa Cruz), University of California (UC)-University of California (UC) |
| Rok vydání: | 2008 |
| Předmět: |
Chemical imaging
Analytical chemistry 02 engineering and technology 01 natural sciences Biochemistry Analytical Chemistry 010309 optics Chemometrics symbols.namesake 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Environmental Chemistry Spectroscopy Data processing Micron size Chemistry business.industry Low resolution Pattern recognition Total variation denoising Superresolution [CHIM.THEO]Chemical Sciences/Theoretical and/or physical chemistry symbols 020201 artificial intelligence & image processing Artificial intelligence business Raman spectroscopy |
| Zdroj: | 33rd FACSS 33rd FACSS, Oct 2008, Reno, United States Analytica Chimica Acta Analytica Chimica Acta, Elsevier Masson, 2008, 607, pp.168-175. ⟨10.1016/j.aca.2007.12.004⟩ Analytica Chimica Acta, 2008, 607, pp.168-175. ⟨10.1016/j.aca.2007.12.004⟩ |
| ISSN: | 0003-2670 |
| DOI: | 10.1016/j.aca.2007.12.004 |
| Popis: | International audience; Imaging in Raman spectroscopy is a valuable tool for analytical chemistry. Although molecular characterization at micron level is achieved for many applications, it usually fails producing chemical images of micron size samples as expected in chemical, environmental and biological analysis. The aim of the work is to introduce the potential of super-resolution in vibrational spectroscopic imaging. This original chemometrics approach uses several low resolution images of the same sample in order to retrieve a higher resolution chemical image. It is thus possible to overcome in a certain way some physical and instrumentals limitations. To illustrate the methodology, sub-micronic details of a Si/Au sample are retrieved from low resolution images with different super-resolution algorithms. The better results are obtained with Iterative L2/Bilateral Total Variation regularization method. The use of a regularization procedure gives also better results since its first property is to preserve edges during the reconstruction of the super-resolved image. This concept of chemical image data processing should open new analytical opportunities. |
| Databáze: | OpenAIRE |
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