Sökning: "Temporal super-resolution"

Visar resultat 1 - 5 av 6 uppsatser innehållade orden Temporal super-resolution.

  1. 1. Quality enhancement of time-resolved computed tomography scans with cycleGAN

    Master-uppsats, Lunds universitet/Synkrotronljusfysik; Lunds universitet/Fysiska institutionen

    Författare :Johannes Stubbe; [2023]
    Nyckelord :carbon fibers; carbon fibres; microfibers; tomography; deep learning; cycleGAN; time-resolved tomography; Physics and Astronomy;

    Sammanfattning : Time-resolved x-ray tomography enables us to dynamically and non-destructively study the interior of a specimen. The obtainable temporal resolution is limited by the x-ray flux and the desired spatial resolution. LÄS MER

  3. 2. Deep learning for temporal super-resolution of 4D Flow MRI

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Pia Callmer; [2023]
    Nyckelord :Temporal super-resolution; 4D Flow MRI; CNN; Artificial Intelligence; MRI; 4D flow; Temporal superupplösning; 4D flöde MRI; CNN; artificiell intelligens; MRI; 4D-flöde;

    Sammanfattning : The accurate assessment of hemodynamics and its parameters play an important role when diagnosing cardiovascular diseases. In this context, 4D Flow Magnetic Resonance Imaging (4D Flow MRI) is a non-invasive measurement technique that facilitates hemodynamic parameter assessment as well as quantitative and qualitative analysis of three-directional flow over time. LÄS MER

  4. 3. Super-Resolution Vehicle Trajectory using Recurrent Time Series Imputation

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Hasnain Roopawalla; [2022]
    Nyckelord :;

    Sammanfattning : Vehicle data finds its use in a variety of applications in the fields of machine learning and data analysis. The volume of available data is limited by the frequency of data collection, and for several reasons, it can be infeasible to simply amplify this frequency. LÄS MER

  5. 4. Real-Time Video Super-Resolution : A Comparative Study of Interpolation and Deep Learning Approaches to Upsampling Real-Time Video

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Erik Båvenstrand; [2021]
    Nyckelord :Super-Resolution; Real-Time; Deep Learning; Upsampling; Computer Vision; Machine Learning; Motion Compensation; Temporal Coherence; Superupplösning; Realtid; Djupinlärning; Uppsampling; Datorseende; Maskininlärning; Rörelsekompensation; Temporalt Sammanhängande;

    Sammanfattning : Super-resolution is a subfield of computer vision centered around upsampling low-resolution images to a corresponding high-resolution counterpart. This degree project investigates the suitability of a deep learning method for real-time video super-resolution. LÄS MER

  7. 5. Deep Learning based Video Super- Resolution in Computer Generated Graphics

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Vinit Jain; [2020]
    Nyckelord :Deep Learning; Convolutional Neural Networks; Video Super-Resolution; Computer Generated Graphics; Gaming.; Deep Learning; Convolutional Neural Networks; Video Super-Resolution; Computer Generated Graphics; Gaming.;

    Sammanfattning : Super-Resolution is a widely studied problem in the field of computer vision, where the purpose is to increase the resolution of, or super-resolve, image data. In Video Super-Resolution, maintaining temporal coherence for consecutive video frames requires fusing information from multiple frames to super-resolve one frame. LÄS MER