Essays about: "super resolution of images"
Showing result 16 - 20 of 32 essays containing the words super resolution of images.
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16. Hyperspectral Image Registration and Construction From Irregularly Sampled Data
University essay from Linköpings universitet/DatorseendeAbstract : Hyperspectral imaging based on the use of an exponentially variable filter gives the possibility to construct a lightweight hyperspectral sensor. The exponentially variable filter captures the whole spectral range in each image where each column captures a different wavelength. READ MORE
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17. Improving Knee Cartilage Segmentation using Deep Learning-based Super-Resolution Methods
University essay from KTH/Medicinteknik och hälsosystemAbstract : Segmentation of the knee cartilage is an important step for surgery planning and manufacturing patient-specific prostheses. What has been a promising technology in recent years is deep learning-based super-resolution methods that are composed of feed-forward models which have been successfully applied on natural and medical images. READ MORE
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18. Nanoscale detection of insulin granule sub-structures using dSTORM imaging
University essay from Lunds universitet/Atomfysik; Lunds universitet/Fysiska institutionenAbstract : 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
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19. Super-Resolution Using Dynamic Cameras
University essay from Linköpings universitet/DatorseendeAbstract : In digital image correlation, an optical full-field analysis method that can determine displacements of an object under load, high-resolution images are preferable. One way to improve the resolution is to improve the camera hardware. READ MORE
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20. Vehicle Detection, at a Distance : Done Efficiently via Fusion of Short- and Long-Range Images
University essay from Linköpings universitet/DatorseendeAbstract : Object detection is a classical computer vision task, encountered in many practical applications such as robotics and autonomous driving. The latter involves serious consequences of failure and a multitude of challenging demands, including high computational efficiency and detection accuracy. READ MORE