no code implementations • 14 Dec 2023 • Frank Sippel, Jürgen Seiler, André Kaup
Thus, in this paper an upsampling method for SWIR images guided by a visible image is presented.
no code implementations • 14 Dec 2023 • Frank Sippel, Nils Genser, Hannah Och, Jürgen Seiler, André Kaup
The theoretical examination of the novel color agnostic method is completed by an extensive evaluation compared to state of the art including self-recorded multispectral data and a reference implementation.
1 code implementation • 27 Jun 2023 • Frank Sippel, Jürgen Seiler, André Kaup
Since only little cross spectral data is available for training, this neural network is highly regularized.
1 code implementation • 18 Jan 2023 • Frank Sippel, Jürgen Seiler, André Kaup
Two novel algorithms for two different applications are proposed to prove the diversity of applications that can be addressed by this novel database.
no code implementations • 16 Sep 2022 • Frank Sippel, Jürgen Seiler, André Kaup
In this paper we introduce a novel fast binary search for optimal filter selection that guarantees a minimum distance metric between the different spectra to classify.
no code implementations • 16 Sep 2022 • Frank Sippel, Jürgen Seiler, André Kaup
Therefore, multispectral cameras with wide-band filters are used, which are much cheaper and are often able to capture videos.
no code implementations • 16 Sep 2022 • 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.
no code implementations • 16 Sep 2022 • Frank Sippel, Jürgen Seiler, Nils Genser, André Kaup
This novel estimation method is based on the guided filtering technique which preserves basic structures, while using spatial information to reduce the influence of noise.