• Cross-modality guided Image Enhancement 

      Naseem, Rabia (Doctoral theses at NTNU;2021:415, Doctoral thesis, 2021)
      The quality of medical images is a crucial factor that affects the performance of several image analysis tasks. Low contrast and noise are among the widely investigated distortions in medical image enhancement problems. ...
    • End-to-End Steering Angle Prediction for Autonomous Vehicles 

      Kastet, Anna; Neset, Ragnhild Cecilie (Master thesis, 2018)
      In recent years, convolutional neural networks (CNNs) have been applied to several autonomous driving tasks in an end-to-end manner with promising results. As these kinds of systems are given the freedom to self-optimise ...
    • Full Reference Image Quality Assessment Based on Saliency Map Analysis 

      Tong, Yubing; Konik, Hubert; Cheikh, Faouzi Alaya; Tremeau, Alain (Journal article; Peer reviewed, 2010)
      Region saliency has not been fully considered in most previous image quality assessment models. In this article, the contribution of any region to the global quality measure of an image is weighted with variable weights ...
    • Geometric Modeling for Planning of Liver Resection Procedures 

      Palomar, Rafael (Doctoral theses at NTNU;2018:174, Doctoral thesis, 2018)
    • GPU acceleration of liver enhancement for tumor segmentation 

      Naseem, Rabia; Cheikh, Faouzi Alaya (Peer reviewed; Journal article, 2019)
      Background and objective: Medical image segmentation plays a vital role in medical image analysis. There are many algorithms developed for medical image segmentation which are based on edge or region characteristics. These ...
    • Internal Emotion Classification Using EEG Signal With Sparse Discriminative Ensemble 

      Ullah, Habib; Muhammad, Uzair; Mahmood, Arif; Ullah, Mohib; Khan, Sultan Daud; Cheikh, Faouzi Alaya (Journal article; Peer reviewed, 2019)
      Among various physiological signal acquisition methods for the study of the human brain, EEG (Electroencephalography) is more effective. EEG provides a convenient, non-intrusive, and accurate way of capturing brain signals ...
    • Intra-operative Image Enhancement and Registration for Image Guided Laparoscopic Liver Resection 

      Wang, Congcong (Doctoral theses at NTNU;2020:88, Doctoral thesis, 2020)
    • Lightweight Livestock Monitoring with Vision Transformer 

      Lien, Andreas Kilde (Master thesis, 2023)
      Betydelige fremskritt har blitt gjort innen identifikasjon av individuelle husdyr ved bruk av konvolusjonelle nevrale nettverk (CNNs). Til tross for disse fremskrittene, er det fortsatt rom for å forbedre deres ytelse. ...
    • Modular E-learning Platform 

      Furre, Gard Aleksander; Sele, Espen (Bachelor thesis, 2023)
      Denne bacheloroppgaven fokuserer på utviklingen av en modulær e-læringsplattform for EC-Play, et norsk utdanningsteknologiselskap som spesialiserer seg på prakt- isk musikkutdanning. Målet med prosjektet er å skape en ...
    • Multi-label classification of a real-world image dataset 

      Uvarov, Nikita (Master thesis, 2017)
      Deep neural networks have shown increasing performance in image classification recent years. However, most of the methods developed in research are created, trained and compared on standard, general image collections. While ...
    • Objective and subjective quality assessment of 360-degree images 

      Sendjasni, Abderrezzaq (Doctoral theses at NTNU;2023:5, Doctoral thesis, 2023)
      360-degree images, a.k.a. omnidirectional images, are in the center of immersive media. With the increase in demands of the latter, mainly thanks to the offered interactive and immersive experience, it is paramount to ...
    • Quality assessment of stereoscopic 3D content based on binocular perception 

      FAN, Yu (Doctoral theses at NTNU;2019:126, Doctoral thesis, 2019)
    • Real-time people counting system using a single video camera 

      Lefloch, Damien; Cheikh, Faouzi Alaya; Hardeberg, Jon Yngve; Gouton, Pierre; Picot-Clemente, Romain (Proceedings of SPIE;6811, Journal article; Peer reviewed, 2008)
      There is growing interest in video-based solutions for people monitoring and counting in business and security applications. Compared to classic sensor-based solutions the video-based ones allow for more versatile ...
    • Recent IoT Communication Systems. Towards reliable, sustainable and maintainable smart cities 

      Bouzidi, Mohammed (Doctoral theses at NTNU;2023:61, Doctoral thesis, 2023)
      Over the past few decades, there has been a dramatic and unprecedented growth of populations in the cities. Statistics show that today’s numbers are expected to increase exponentially over the next 30 years. In order to ...