Sökning: "Spatial denoising"

Hittade 5 uppsatser innehållade orden Spatial denoising.

  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. Investigating magnetic reconnectionevents in the solar chromosphere

    Master-uppsats, Stockholms universitet/Institutionen för astronomi

    Författare :Filippa Koskelainen; [2020]
    Nyckelord :;

    Sammanfattning : The focus of this thesis is to investigate magnetic reconnection in the solar chromosphere by usinghigh spatial resolution data including polarimetric signals. Magnetic reconnection occurs whenmagnetic field lines of different directions come in contact and change the configuration of the fieldlines. LÄS MER

  4. 3. Optimization of Non-Local Means filtration for Cone Beam Computed Tomography

    H-uppsats,

    Författare :Lina Berneryd; [2019-07-03]
    Nyckelord :Matematik; Grundläggande vetenskaper; Mathematics; Basic Sciences;

    Sammanfattning : Cone Beam Computed Tomography (CBCT) is a medical imaging technique used to visualize the internals of an object from a set of X-ray images. The X-ray images are taken with a cone shaped X-ray beam at many angles around the object being visualized. The images are then back projected through a volume forming a 3D representation of the object. LÄS MER

  5. 4. Spatio-Temporal Noise Filtering using Convolutional Neural Networks with a Realistic Noise Model under Low-Light Conditions

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Tim Borglund; Tor Nilsson; [2019]
    Nyckelord :Deep Learning; CNN; Image Processing; Video Denoising; Noise Filtering; Mathematics and Statistics;

    Sammanfattning : Convolutional neural networks have in recent years been successfully employed for various image processing tasks, such as filtering noise. There are however relatively few published attempts for processing video in this way. LÄS MER

  7. 5. Low Light Video Enhancement along with Objective and Subjective Quality Assessment

    Magister-uppsats, Blekinge Tekniska Högskola/Institutionen för tillämpad signalbehandling

    Författare :Venkata Gopi Krishna Dalasari; Sri Krishna Jayanty; [2016]
    Nyckelord :Contrast enhancement; Dynamic range; Kalman filter; Spatial denoising; Noise reduction; Temporal denoising; Tone mapping.;

    Sammanfattning : Enhancing low light videos has been quite a challenge over the years. A video taken in low light always has the issues of low dynamic range and high noise. This master thesis presents contribution within the field of low light video enhancement. LÄS MER