8 citations · 38 across the 12 of their papers we have counts for
4 papers · 1 filter
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…
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…
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…
Optimal Filter Selection for Multispectral Object Classification Using Fast Binary Search
Frank Sippel, Jürgen Seiler, André Kaup
When designing multispectral imaging systems for classifying different spectra it is necessary to choose a small number of filters from a set with several hundred different ones. T…