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Found 8 papers, 2 papers with code
A Guided Upsampling Network for Short Wave Infrared Images Using Graph Regularization
Thus, in this paper an upsampling method for SWIR images guided by a visible image is presented.
Color Agnostic Cross-Spectral Disparity Estimation
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.
Cross Spectral Image Reconstruction Using a Deep Guided Neural Network
Since only little cross spectral data is available for training, this neural network is highly regularized.
Synthetic Hyperspectral Array Video Database with Applications to Cross-Spectral Reconstruction and Hyperspectral Video Coding
Two novel algorithms for two different applications are proposed to prove the diversity of applications that can be addressed by this novel database.
Optimal Filter Selection for Multispectral Object Classification Using Fast Binary Search
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.
Hyperspectral Image Reconstruction from Multispectral Images Using Non-Local Filtering
Therefore, multispectral cameras with wide-band filters are used, which are much cheaper and are often able to capture videos.
Spatio-spectral Image Reconstruction Using Non-local Filtering
In many image processing tasks it occurs that pixels or blocks of pixels are missing or lost in only some channels.
Structure-Preserving Spectral Reflectance Estimation using Guided Filtering
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.
