5 citations · 9 across the 3 of their papers we have counts for
3 papers
eess.IV2022
Hyperspectral Image Reconstruction from Multispectral Images Using Non-Local Filtering
Frank Sippel, Jürgen Seiler, André Kaup
Using light spectra is an essential element in many applications, for example, in material classification. Often this information is acquired by using a hyperspectral camera. Unfor…
eess.IV2022★ 4 cited
Spatio-spectral Image Reconstruction Using Non-local Filtering
Frank Sippel, Jürgen Seiler, André Kaup
In many image processing tasks it occurs that pixels or blocks of pixels are missing or lost in only some channels. For example during defective transmissions of RGB images, it may…
eess.IV2022★ 5 cited
Structure-Preserving Spectral Reflectance Estimation using Guided Filtering
Frank Sippel, Jürgen Seiler, Nils Genser +1
Light spectra are a very important source of information for diverse classification problems, e.g., for discrimination of materials. To lower the cost for acquiring this informatio…