• A Three-Feature Model to Predict Colour Change Blindness 

      Le Moan, Steven; Pedersen, Marius (Journal article; Peer reviewed, 2019)
      Change blindness is a striking shortcoming of our visual system which is exploited in the popular ‘Spot the difference’ game, as it makes us unable to notice large visual changes happening right before our eyes. Change ...
    • Color and sharpness assessment of single image dehazing 

      El Khoury, Jessica; Le Moan, Steven; Thomas, Jean-Baptiste; Mansouri, Alamin (Journal article; Peer reviewed, 2017)
      Image dehazing is the process of enhancing a color image of a natural scene that contains an undesirable veil of fog for visualization or as a pre-processing step for computer vision systems. In this work, we investigate ...
    • Effect of Luminance Adaptation on Contrast Threshold in HVS 

      Harijan, Akash (Master thesis, 2023)
      A psychophysical experiment was conducted to investigate the effect of surround luminance i.e. luminance out of 10 degrees visual angle of the retina, on luminance contrast in foveal view by the human visual system (HVS) ...
    • Evidence of change blindness in subjective image fidelity assessment 

      Le Moan, Steven; Pedersen, Marius (Journal article; Peer reviewed, 2017)
      Change blindness is a striking phenomenon which basically means that we can look without seeing. It originates from a faulty communication between early vision (the eye) and visual working memory (the brain). In this paper, ...
    • Explainable AI for RGB to HyperSpectral CNN Models 

      Issa, Hamzeh (Master thesis, 2023)
      HyperSpectral Imaging (HSI) is a vital tool to many industries and fields. It is however very costly, time consuming, and in need of dedicated hardware. Lots of research was dedicated to find alternatives to traditional ...
    • Explainable Artificial Intelligence for Image Quality Assessment 

      Nguyen, Ha Thu (Master thesis, 2023)
      Image quality assessment has been an active research field for decades because of the high demand for images and video content in daily life. As visual information is processed in various steps from acquisition and storage ...
    • High-Level Visual Masking of Image Compression Artefacts 

      Le Moan, Steven; Pedersen, Marius; Chetouani, Aladine (Chapter, 2020)
      We present the results of a subjective experiment where we measured detection thresholds for 2°wide noise targets placed in 23 different natural scenes. Unlike previous studies on visual masking, we focus particularly on ...
    • License Management in Closed Offline Networks Using Modern Cryptographic Solutions 

      Brekke, Sander Osvik; Norderhaug, Ivan; Svanholm, Kristian Røren (Bachelor thesis, 2023)
      Nevion ønsket en løsning til et system som benytter seg av en tidsbasert lisensieringsmodell der kunden selv skal kunne generere del-lisenser av en større lisens på Nevions vegne, uten internettilkobling. Gjennom dette ...
    • License Management in Closed Offline Networks Using Modern Cryptographic Solutions 

      Brekke, Sander Osvik; Norderhaug, Ivan; Svanholm, Kristian Røren (Bachelor thesis, 2023)
      Nevion ønsket en løsning til et system som benytter seg av en tidsbasert lisensieringsmodell der kunden selv skal kunne generere del-lisenser av en større lisens på Nevions vegne, uten internettilkobling. Gjennom dette ...
    • Measuring the Effect of High-Level Visual Masking in Subjective Image Quality Assessment with Priming 

      Le Moan, Steven; Pedersen, Marius (Chapter, 2018)
      Despite recent advances in subjective image quality research, many fundamental questions are still unanswered. Although we understand early vision fairly well, little is known about late vision and how the two interact ...
    • A Novel Mean-Shift Algorithm for Data Clustering 

      Cariou, Claude; Le Moan, Steven; Chehdi, Kacem (Peer reviewed; Journal article, 2022)
      We propose a novel Mean-Shift method for data clustering, called Robust Mean-Shift (RMS). A new update equation for point iterates is proposed, mixing the ones of the standard Mean-Shift (MS) and the Blurring Mean-Shift ...
    • Subjective Image Fidelity Assessment: Effect of the Spatial Distance Between Stimuli 

      Le Moan, Steven; Pedersen, Marius (Chapter, 2019)
      Understanding how we perceive visual quality is important in a range of applications such as streaming or cross-media reproduction. Despite current perception models showing high correlations with recorded mean opinion ...
    • Towards exploiting change blindness for image processing 

      Le Moan, Steven; Farup, Ivar; Blahova, Jana (Journal article; Peer reviewed, 2018)
      Change blindness is a type of visual masking which affects our ability to notice changes introduced in visual stimuli (e.g. change in the colour or position of an object). In this paper, we propose to use it as a means to ...