• Blind blur assessment of MRI images using parallel multiscale difference of Gaussian filters 

      Osadebey, Michael; Pedersen, Marius; Arnold, Douglas; Wendel-Mitoraj, Katrina (Journal article; Peer reviewed, 2018)
      Background: Rician noise, bias felds and blur are the common distortions that degrade MRI images during acquisition. Blur is unique in comparison to Rician noise and bias felds because it can be introduced into an image ...
    • Content-independent embedding scheme for multi-modal medical image watermarking 

      Nyeem, Hussain; Boles, Wageeh; Boyd, Colin Alexander (Journal article; Peer reviewed, 2015)
      Background As the increasing adoption of information technology continues to offer better distant medical services, the distribution of, and remote access to digital medical images over public networks continues to grow ...
    • Data Driven Filtering of Bowel Sounds Using Multivariate Empirical Mode Decomposition 

      Kölle, Konstanze; Aftab, Muhammad Faisal; Andersson, Leif Erik; Fougner, Anders Lyngvi; Stavdahl, Øyvind (Journal article; Peer reviewed, 2019)
      Background The analysis of abdominal sounds can help to diagnose gastro-intestinal diseases. Sounds originating from the stomach and the intestine, the so-called bowel sounds, occur in various forms. They are described ...
    • Variational based smoke removal in laparoscopic images 

      Wang, Congcong; Alaya Cheikh, Faouzi; Kaaniche, Mounir; Beghdadi, Azeddine; Elle, Ole Jacob (Journal article; Peer reviewed, 2018)
      Background In laparoscopic surgery, image quality can be severely degraded by surgical smoke, which not only introduces errors for the image processing algorithms (used in image guided surgery), but also reduces the ...