• A Study on Sensitive Bands of EEG Data under Different Mental Workloads 

      Qu, Hongquan; Fan, Zhanli; Cao, Shuqin; Pang, Liping; Wang, Hao; Zhang, Jie (Journal article; Peer reviewed, 2019)
      Electroencephalogram (EEG) signals contain a lot of human body performance information. With the development of the brain–computer interface (BCI) technology, many researchers have used the feature extraction and classification ...
    • A Weighted Histogram-Based Tone Mapping Algorithm for CT images 

      Völgyes, David; Martinsen, Anne Catrine Trægde; Stray-Pedersen, Arne; Waaler, Dag; Pedersen, Marius (Journal article; Peer reviewed, 2018)
      Computed Tomography (CT) images have a high dynamic range, which makes visualization challenging. Histogram equalization methods either use spatially invariant weights or limited kernel size due to the complexity of pairwise ...
    • Image De-Quantization Using Plate Bending Model 

      Völgyes, David; Martinsen, Anne Catrine Trægde; Stray-Pedersen, Arne; Waaler, Dag; Pedersen, Marius (Journal article; Peer reviewed, 2018)
      Discretized image signals might have a lower dynamic range than the display. Because of this, false contours might appear when the image has the same pixel value for a larger region and the distance between pixel levels ...
    • Uncertainty propagation through a point model for steady-state two-phase pipe flow 

      Strand, Andreas; Smith, Ivar Eskerud; Unander, Tor Erling; Steinsland, Ingelin; Hellevik, Leif Rune (Peer reviewed; Journal article, 2020)
      Uncertainty propagation is used to quantify the uncertainty in model predictions in the presence of uncertain input variables. In this study, we analyze a steady-state point-model for two-phase gas-liquid flow. We present ...