Essays about: "super resolution of images"
Showing result 21 - 25 of 32 essays containing the words super resolution of images.
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21. Social Distancing AI: Using super-resolution to train an object detection model on low resolution images
University essay from Lunds universitet/Matematisk statistikAbstract : This paper addresses the following hypothetical situation: suppose that we want to train an object detection algorithm but that only low resolution data is available. As a tentative solution to this problem, this paper suggest to first super-resolve the low resolution data to obtain higher resolution data that is then fed to the object detection algorithm. READ MORE
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22. Compression of Generative Networks for Single Image Super-Resolution
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)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
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23. Super-Resolution for Fast Multi-Contrast Magnetic Resonance Imaging
University essay from Umeå universitet/Institutionen för fysikAbstract : 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
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24. Derivation of an Algorithm for the Analysis of Images of DNA molecules prepared with Denaturation Mapping
University essay from Lunds universitet/Fasta tillståndets fysik; Lunds universitet/Fysiska institutionenAbstract : Denaturation mapping is a powerful and fast method for optically analyzing DNA molecules.It can be used to characterize DNA molecules on a scale of a few hundred base pairs which is sufficient for applications. READ MORE
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25. Generative adversarial networks for single image super resolution in microscopy images
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)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