Essays about: "Single Image Super-Resolution"

Showing result 6 - 10 of 11 essays containing the words Single Image Super-Resolution.

  1. 6. Nanoscale detection of insulin granule sub-structures using dSTORM imaging

    University essay from Lunds universitet/Atomfysik; Lunds universitet/Fysiska institutionen

    Author : Yu Hong; [2020]
    Keywords : islet β-cells; dSTORM imaging; Alexa Fluor 647; Physics and Astronomy;

    Abstract : Diabetes mellitus is a global disease, mainly caused by insufficient insulin secre- tion from pancreatic islet β-cells. Insulin is stored in the granules of islet β-cells and released in response to extracellular stimuli e.g. glucose. READ MORE

  3. 7. Compression of Generative Networks for Single Image Super-Resolution

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Jacob Åslund; Anton Dahlin; [2020]
    Keywords : ;

    Abstract : In this research project we have compressed the model size of a generative neural network trained to upscale low resolution images. After first training a large network for this task, we used knowledge distillation to train smaller networks to approximate its output. READ MORE

  4. 8. Super-Resolution for Fast Multi-Contrast Magnetic Resonance Imaging

    University essay from Umeå universitet/Institutionen för fysik

    Author : Erik Nilsson; [2019]
    Keywords : Deep learning; convolutional neural networks; CNN; super-resolution; MRI;

    Abstract : There are many clinical situations where magnetic resonance imaging (MRI) is preferable over other imaging modalities, while the major disadvantage is the relatively long scan time. Due to limited resources, this means that not all patients can be offered an MRI scan, even though it could provide crucial information. READ MORE

  5. 9. Generative adversarial networks for single image super resolution in microscopy images

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Saurabh Gawande; [2018]
    Keywords : Deep Learning; Generative adversarial networks; Super resolution; High content screening microscopy; Deep Learning; Generative adversarial networks; Super resolution; High content screening microscopy;

    Abstract : Image Super resolution is a widely-studied problem in computer vision, where the objective is to convert a lowresolution image to a high resolution image. Conventional methods for achieving super-resolution such as image priors, interpolation, sparse coding require a lot of pre/post processing and optimization. READ MORE

  6. 10. Selective Plane Illumination Microscopy Using Non-spreading Airy Beams

    University essay from Lunds universitet/Fysiska institutionen; Lunds universitet/Atomfysik

    Author : Aleksandrs Leitis; [2016]
    Keywords : Microscopy; Selective Plane Illumination Microscopy; Light Sheet Microscopy; Physics and Astronomy;

    Abstract : Recently a new field of microscopy has emerged, known as selective plane illumination microscopy (SPIM). Using a SPIM setup the sample is illuminated with a thin light sheet from the side. The selective plane illumination overcomes many problems that conventional microscopes have. READ MORE