• Image enhancement dataset for evaluation of image quality metrics 

      Kadyrova, Altynay; Pedersen, Marius; Ahmad, Bilal; Mandal, Dipendra Jee; Nguyen, Mathieu; Zimmermann, Pauline (Peer reviewed; Journal article, 2022)
      Image enhancement is important in different application areas such as medical imaging, computer graphics, and military applications. In this paper, we introduce a dataset with enhanced images. The images have been enhanced ...
    • Image Inpainting with Learnable Feature Imputation 

      Hukkelås, Håkon; Mester, Rudolf; Lindseth, Frank (Chapter, 2021)
      A regular convolution layer applying a filter in the same way over known and unknown areas causes visual artifacts in the inpainted image. Several studies address this issue with feature re-normalization on the output of ...
    • Image Quality Assessment by Comparing CNN Features between Images 

      Amirshahi, Seyed Ali; Pedersen, Marius; Yu, Stella X. (Peer reviewed; Journal article, 2016)
      Finding an objective image quality metric that matches the subjective quality has always been a challenging task. We propose a new full reference image quality metric based on features extracted from Convolutional Neural ...
    • Image Quality Assessment of Hyperspectral and Conventional Imaging for Cultural Heritage Artifacts 

      Mandal, Dipendra Jee (Doctoral theses at NTNU;2023:356, Doctoral thesis, 2023)
      Preserving historical artifacts is crucial as they carry cultural significance beyond their artistic value and offer insight into their creation for future generations. Digitalization of cultural heritage artifacts preserves ...
    • Image Quality Assessment without Reference by Combining Deep Learning-Based Features and Viewing Distance 

      Chetouani, Aladine; Pedersen, Marius (Peer reviewed; Journal article, 2021)
      An abundance of objective image quality metrics have been introduced in the literature. One important essential aspect that perceived image quality is dependent on is the viewing distance from the observer to the image. ...
    • Image Quality Evaluation in Clinical Research: A Case Study on Brain and Cardiac MRI Images in Multi-Center Clinical Trials 

      Osadebey, Michael; Pedersen, Marius; Arnold, Douglas; Wendel-Mitoraj, Katrina (Journal article; Peer reviewed, 2018)
      Magnetic resonance imaging (MRI) system images are important components in the development of drugs because it can reveal the underlying pathology in diseases. Unfortunately, the processes of image acquisition, storage, ...
    • Image quality in forensic CT imaging 

      Völgyes, David (Doctoral theses at NTNU;2018:294, Doctoral thesis, 2018)
      What factors affect the diagnostic image quality in forensic computed tomography (CT) imaging? In this thesis I briefly present the main steps from CT scanning to diagnostics. The thesis is built on four core papers. The ...
    • Image Quality Metrics for the Evaluation and Optimization of Capsule Video Endoscopy Enhancement Techniques 

      Pedersen, Marius; Cherepkova, Olga; Mohammed, Ahmed Kedir (Journal article; Peer reviewed, 2017)
      Capsule endoscopy, using a wireless camera to capture the digestive track, is becoming a popular alternative to traditional colonoscopy. The images obtained from a capsule have lower quality compared to traditional ...
    • Image quality with iterative reconstruction techniques in CT of the lungs?A phantom study 

      Andersen, Hilde Kjernlie; Volgyes, David; Martinsen, Anne Catrine Trægde (Journal article; Peer reviewed, 2018)
      Background Iterative reconstruction techniques for reducing radiation dose and improving image quality in CT have proved to work differently for different patient sizes, dose levels, and anatomical areas. Purpose This ...
    • Image recognition for groceries using deep learning 

      Gamkinn Hoff, Hans Christian (Master thesis, 2020)
      I flere tiår har strekkoder vært brukt for å skanne og identifisere varer i dagligvarebutikker verden over, ettersom det er en lett og effektiv måte å registrere varene på i kassen. I daglivarebutikker derimot, selges det ...
    • Image Statistics as Glossiness and Translucency Predictor in Photographs of Real-world Objects 

      Gigilashvili, Davit; Tanaka, Midori; Pedersen, Marius; Hardeberg, Jon Yngve (Peer reviewed; Journal article, 2020)
      We interpret our surrounding based on the visual stimuli, and perceive objects and materials around us to have various attributes, like color, glossiness, and translucency. We analyze the three-dimensional world based on ...
    • Image texture and radiation dose properties in CT 

      Możejko, Dawid; Andersen, Hilde Kjernlie; Pedersen, Marius; Waaler, Dag; Martinsen, Anne Catrine Trægde (Journal article; Peer reviewed, 2016)
      The aim of this study was to compare image noise properties of GE Discovery HD 750 and Toshiba Aquilion ONE. The uniformity section of a Catphan 600 image quality assurance phantom was scanned with both scanners, at different ...
    • Image Texture, Uniformity, Homogenity and Radiation Dose Properties in CT 

      Mozejko, Dawid (Master thesis, 2013)
      In medical imaging, especially when potentially harmful X-ray radiation is used to obtain diagnostic data, it is important to reduce the risk the patient is exposed to. For that reason it is expected to obtain maximum ...
    • Image-Based Bidirectional Reflectance Measurement of Non-Diffuse and Gonio-Chromatic Materials 

      Sole, Aditya Suneel (Doctoral theses at NTNU;2019:344, Doctoral thesis, 2019)
      Visual appearance of packaging material can vary in terms of perceived colour or lightness properties with a change in illumination and viewing directions mainly due to its optical properties. This gives a desirable visual ...
    • Image-based Estimation of Physical Correlates of the Visual Appearance of Snow 

      Nguyen, Mathieu (Doctoral theses at NTNU;2024:69, Doctoral thesis, 2024)
      The most common representation of snow is to describe it as a white and cold powder material that is usually found in winter or specific areas of the world. It can also be associated with the Christmas festivities, winter ...
    • Image-based goniometric appearance characterisation of bronze patinas 

      Kiyomoto Arteaga, Isabel Yoko; Boust, Clotilde; Dequier, Angèle; Hardeberg, Jon Yngve (Journal article; Peer reviewed, 2021)
      Patinas are a form of metal polychromy used to decorate metallic artworks. Due to the nature of the metallic surface, their colour and gloss is perceived differently when the illumination and viewing directions vary. Sparkle ...
    • Image-Based Recognition of Individual Trouts in the Wild 

      Zhao, Lingcong; Pedersen, Marius; Hardeberg, Jon Yngve; Dervo, Børre Kind (Journal article; Peer reviewed, 2019)
      Individual fish recognition has potentials in applications as fish cultivcation and fishing tourism. Unlike previous research, which either based on physical marker or based on photograph comparison using observers, this ...
    • Image-based Somatotype as a Biometric Trait for Non-Collaborative Person Recognition at a Distance and On-The-Move 

      Danelakis, Antonios; Theoharis, Theoharis (Peer reviewed; Journal article, 2020)
      It has recently been shown in Re-Identification (Re-ID) work that full-body images of people reveal their somatotype, even after change in apparel. A significant advantage of this biometric trait is that it can easily be ...
    • Image-space Ambient Obscurance in WebGL 

      Gravås, Lorents Odin (Master thesis, 2013)
      Image-space approaches to ambient obscurance have become the de-facto standard for realistic ambient lighting in real-time applications. This thesis investigates the potential applicability of such approaches for a WebGL-based ...
    • ImageCL 3D Extensions Targeting Adaptive Mesh Refinement Proxy Applications on GPUs 

      Rogstadkjærnet, Even Olsson (Master thesis, 2018)
      As the adoption of parallel and heterogeneous systems increases, programming such systems also becomes increasingly complex. Frameworks like CUDA and OpenCL provides functional portability across their supported devices. ...