Image denoising techniques applied to glow discharge optical emission spectroscopy elemental mapping

Glow discharge optical emission spectroscopy (GDOES) is becoming a mature technique for depth profiling analysis. The advantages it affords, including fast, quantitative, and multi-elemental analysis, as well as allowing very high depth-resolution, have attracted the attention of the thin film community. Recently, the use of GDOES under pulsed-mode operation and coupled to hyper-spectral imaging techniques has been proposed to perform surface elemental mapping. Several manuscripts have reported on the underlying mechanisms in GDOES pertaining to the spatial resolution, while other manuscripts have reported on elemental mapping applications, for example, regarding separated proteins or thin film combinatorial libraries. Only a couple of studies have reported image processing techniques applied to GDOES elemental mapping and none having to do with image denoising purposes. Herein, image denoising techniques are compared in several scenarios: (a) mapping of homogeneous samples; (b) mappi