Abstract: In recent years, neural network-based methods have shown promising results in hyperspectral image (HSI) denoising areas. Real HSIs exhibit the substantial variations in noise distribution ...

Unsupervised multilabel image segmentation (colour, grayscale, multichannel) via the Potts model — also known as the piecewise-constant Mumford-Shah model or the ℓ⁰ gradient model. Solvers for 1-D ...

Code for the paper: "Modular Neural Image Signal Processing". A modular neural ISP with interpretable stages, multi-style rendering, cross-camera generalization, and post-editable re-rendering with an ...

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Abstract: The ever-increasing spectral resolution of hyperspectral images (HSIs) is often obtained at the cost of a decrease in the signal-to-noise ratio of the measurements, thus calling for ...

Electroencephalogram (EEG) acquisition is easily affected by various noises, including those from electrocardiogram (ECG), electrooculogram (EOG), and electromyogram (EMG). Because noise interference ...

HighlY constrained backPRojection (HYPR) is a promising image-processing strategy with widespread application in time-resolved MRI that is also well suited for PET applications requiring time series ...

Neurodynamic Utility Toolbox for Magnetoencephalo- and Electroencephalography (NUTMEG) is an open-source MATLAB-based toolbox for the analysis and reconstruction of ...