• IKT i ungdomskolen: En studie av ungdomsskolene i Trondheim 

      Kirkeby-Garstad, Tor-Even (Master thesis, 2007)
      Målet med denne oppgaven er å identifisere og foreslå tiltak ungdomsskolene i Trondheim kan iverksette for °a bedre bruken av IKT. For å kunne gjøre dette er det nødvendig å vite hva skolene gjør, og hvordan forholdene på ...
    • IKT og endring i offentlig sektor -: En casestudie i kunnskapsforvaltning og bruk av saksbehandlingssystemer 

      Sæther, Håvard (Master thesis, 2006)
      Denne oppgaven har tatt utgangspunkt i teori innen kunnskapsforvaltning og bruk av datasystemer. Det har blitt gjennomført datainnsamling på et pilotprosjekt for sammenslåing av Aetat, Trygdeetaten og sosialtjenesten. ...
    • IKT og Lovverket - Omstillinger og økende integrasjon i offentlig forvaltning 

      Ovell, Jonas (Master thesis, 2005)
      I denne masteroppgaven har jeg tatt for meg hvilken betydning det har å integrere lovverket i IT-systemer, og sett dette i sammenheng med endrings- og moderniseringsprosesser i offentlig velferdsforvaltning. Spørsmålet som ...
    • Illuminance Impacts Opacity Perception of Textile Materials 

      Gigilashvili, Davit; Mirjalili, Fereshteh; Hardeberg, Jon Yngve (Journal article; Peer reviewed, 2019)
      Opacity is an important appearance attribute in the textile industry. Obscuring power and the way textile samples block light can define product quality and customer satisfaction in the lingerie, shirting, and curtain ...
    • Illuminant estimation in multispectral imaging 

      Khan, Haris Ahmad; Thomas, Jean-Baptiste; Hardeberg, Jon Yngve; Laligant, Olivier (Journal article; Peer reviewed, 2017)
      With the advancement in sensor technology, the use of multispectral imaging is gaining wide popularity for computer vision applications. Multispectral imaging is used to achieve better discrimination between the radiance ...
    • Image Appearance Reproduction Framework Using 2.5D Techniques 

      Habib, Tanzima (Doctoral theses at NTNU;2023:271, Doctoral thesis, 2023)
      Light plays a crucial role in the perception of the world around us, as it interacts with objects and stimulates our eyes to create visual images. Appearance is the result of human visual perception of the interaction of ...
    • Image Captioning with Deep Learning: The value of multiple reference captions, and using paraphrases as refrence captions 

      Turkerud, Ingrid Ravn (Master thesis, 2020)
      Automatisk bildetekst generering er et felt innenfor datateknologi som har utviklet seg mye de siste årene. Feltet ligger i snittet av maskinsyn of naturlig språk prosessering. De mest populære datasettene som brukes i ...
    • Image Content and Hand Writing Analysis of the Dead Sea Scrolls 

      Dale, Erik; Fjørkenstad, Håvard Østli; Pursley, Yeshi Jampel (Bachelor thesis, 2022)
      Institutt for informasjonssikkerhet og kommunikasjonsteknologi (IIK) ved Norges teknisk-naturvitenskapelige universitet (NTNU) i Gjøvik ønsket en måte å automatisk ta ut informasjon, for eksempel bokstaver, fra Dødehavsrullene, ...
    • 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 ...
    • 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 ...