Browsing NTNU Open by Author "Pedersen, Marius"

Now showing items 1-20 of 156

    • 3D Reconstruction of the Human Colon from Capsule Endoscope Video 

      Floor, Pål Anders; Farup, Ivar; Pedersen, Marius (Peer reviewed; Journal article, 2022)
      In this paper we investigate the possibility of constructing 3D models of longer sections of the human colon using image sequences obtained from wireless capsule endoscope (WCE) video to provide enhanced viewing for ...

    • A sensor-data-based denoising framework for hyperspectral images 

      Deger, Ferdinand; Mansouri, Alamin; Pedersen, Marius; Hardeberg, Jon Yngve; Voisin, Yvon (Journal article; Peer reviewed, 2015)
      Many denoising approaches extend image processing to a hyperspectral cube structure, but do not take into account a sensor model nor the format of the recording. We propose a denoising framework for hyperspectral images ...

    • 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 ...

    • 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 ...

    • Advanced Image Enhancement Method for Distant Vessels and Structures in Capsule Endoscopy 

      Rukundo, Olivier; Pedersen, Marius; Hovde, Øistein (Journal article; Peer reviewed, 2017)
      This paper proposes an advanced method for contrast enhancement of capsule endoscopic images, with the main objective to obtain sufficient information about the vessels and structures in more distant (or darker) parts of ...

    • An automatic image-based system for detecting wild and stocked fish 

      Myrum, Espen; Nørstebø, Simen Andre; George, Sony; Pedersen, Marius; Museth, Jon (Journal article; Peer reviewed, 2019)
      Fish stocking is the method of raising fish in a hatchery and releasing them into a river or lake to sustain or increase an existing population or to create a population. This has been practised in many countries, including ...

    • An Evaluation of Colour-to-Greyscale Image Conversion by Linear Anisotropic Diffusion and Manual Colour Grading 

      Barba, Aldo; Farup, Ivar; Pedersen, Marius (Journal article; Peer reviewed, 2019)
      In the paper "Colour-to-Greyscale Image Conversion by Linear Anisotropic Diffusion of Perceptual Colour Metrics", Farup et al. presented an algorithm to convert colour images to greyscale. The algorithm produces greyscale ...

    • Analysis of individual quality scores of different image distortions 

      Cherepkova, Olga; Amirshahi, Seyed Ali; Pedersen, Marius (Peer reviewed; Journal article, 2022)
      In this paper, we study individual quality scores given by different observers for various image distortions (saturation, contrast, and color quantization) at different levels. We created a database that contains a total ...

    • Analyzing the Variability of Subjective Image Quality Ratings for Different Distortions 

      Cherepkova, Olga; Amirshahi, Seyed Ali; Pedersen, Marius (Chapter, 2022)
      When it comes to evaluating the quality of images, individual observers show different opinions depending on the type of distortion affecting the quality of the image. While in the opinion of one observer a distortion could ...

    • Applicability of a clinical cardiac CT protocol in post mortem studies 

      Völgyes, David; Pedersen, Marius; Stray-Pedersen, Arne; Waaler, Dag; Martinsen, Anne Catrine Trægde (Journal article; Peer reviewed, 2018)
      Objective Confirmation whether an optimized clinical cardiac CT scan protocol is also optimal for post mortem cardiac CT scans without iodine contrast or the reconstruction parameters should be changed. Materials ...

    • Are All the Frames Equally Important? 

      Sidorov, Oleksii; Pedersen, Marius; Shekhar, Sumit; Wook Kim, Nam (Chapter, 2020)
      In this work, we address the problem of measuring and predicting temporal video saliency - a metric which defines the importance of a video frame for human attention. Unlike the conventional spatial saliency which defines ...

    • Artsgjenkjenning av fisk 

      Nordølum, Birger Johan; Lavik, Eirik Osland; Haugen, Kristian André Dahl; Kvalvaag, Tom-Ruben Traavik (Bachelor thesis, 2021)
      Norsk institutt for naturforskning (NINA) ønsket en løsning som kunne automatisk gjenkjenne arter i undervannsvideo og gi de grunnleggende statistikk om aktiviten i videoene. Dette prosjektet undersøker muligheter for å ...

    • Automated Salamander Recognition Using Deep Neural Networks and Feature Extraction 

      Bakløkken, Jørgen; Schoeler, Felix; Nørholm, Hugo (Bachelor thesis, 2019)
      Hensikten med dette prosjektet er å utvikle et automatisert verktøy og metode som kan identifisere salamandere ved å bruke deres individspesifikke bukmønstre. Vi har undersøkt en rekke med forskjellige eksisterende metoder ...

    • Automated salamander recognition using deep neural networks and feature extraction 

      Bakløkken, Jørgen; Schoeler, Felix; Nørholm, Hugo; George, Sony; Pedersen, Marius; Dervo, Børre Kind (Journal article; Peer reviewed, 2019)
      This paper presents a study conducted to recognize salamanders by using their unique body markings based on images. The detection and matching of unique patterns in a salamander’s body can be complex due variability in ...

    • Automatisk gjenkjenning av settefisk 

      Nørstebø, Simen Andre; Myrum, Espen (Bachelor thesis, 2019)
      Norsk institutt for naturforskning ønsket å se om det var mulig å automatisk gjenkjenne om en undervannsvideo viser en settefisk eller villfisk. I denne rapporten skal vi se nærmere på ulike metoder for å løse dette problemet ...

    • Bayesian framework inspired no-reference region-of-interest quality measure for brain MRI images 

      Osadebey, Michael; Pedersen, Marius; Arnold, Douglas; Wendel-Mitoraj, Katrina; Neuroimaging Initiative, The Alzheimer’s Disease (Journal article; Peer reviewed, 2017)
      We describe a postacquisition, attribute-based quality assessment method for brain magnetic resonance imaging (MRI) images. It is based on the application of Bayes theory to the relationship between entropy and image quality ...

    • Behavioral Investigation of Visual Appearance Assessment 

      Gigilashvili, Davit; Thomas, Jean-Baptiste; Hardeberg, Jon Yngve; Pedersen, Marius (Journal article; Peer reviewed, 2018)
      The way people judge, assess and express appearance they perceive can dramatically vary from person to person. The objective of this study is to identify the research hypotheses and outline directions for the future work ...

    • Bildeteknologi – for sikkerhetens skyld 

      Pedersen, Marius; Gonzalez, Jose Julio (Chronicle, 2015-09-23)

    • 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 ...

    • Blind Quality Assessment of Iris Images Acquired in Visible Light for Biometric Recognition 

      jenadeleh, Mohsen; Pedersen, Marius; Saupe, Dietmar (Journal article; Peer reviewed, 2020)
      Image quality is a key issue affecting the performance of biometric systems. Ensuring the quality of iris images acquired in unconstrained imaging conditions in visible light poses many challenges to iris recognition ...