SpectralViewer
Tools dedicated for art analysis based on spectral images
Philippe Colantoni - philippe.colantoni@univ-st-etienne.fr
SpectralViewer is a C++ software available on Windows and MacOS. Based on OpenGL, it uses the computational power of the GPU to do all the colorimetrics computation and the visualization process. It uses a specific pyramidal data representation based on a Principal Component Analysis (PCA) of the original reflectance information. This data representation allows us to process and visualize multi and hyper spectral images in very high resolution.
Our software has a color flow engine entirely realized by the graphics card processor. We determine for each pixel of the multispectral image the resulting XYZ value generated by the virtual light interaction with the reflectance image. Our color management engine based on ICC profiles (and proprietary files) determines the corresponding RGB value for each of these XYZ values.
Light Simulation
The lighting simulation can be carried out using standard lighting, color temperature or freely from a dedicated spectral interface.
Color Calibrated Visualization
Elevation Visualization
We use custom shaders in order to provide alternative visualizations et 2D and DD where the elevation can be a color component of your choice (luminance, chroma, R, G, B; etc.).
Out of Gamut
To see if the calculated colors are really visible with the ICC profile used for the screen we provide a visualization mode that clearly indicates the colors out of gamut and the level of this out of gamut.
Wavelength Visualization
The data structure used to store our spectral images allows us to recalculate the values of the reflectance spectra for any wavelength value. This visualization mode allows 3 wavelengths to be transferred in an RGB color. Using the same wavelength value for these 3 channels, we obtain the reflectance image corresponding to this value.
Principal Components Visualization
Color Segmentation
Color Histograms
Color Cloud
Color List
Multi Windows View
