Sökning: "Super Resolution image generation"

Hittade 3 uppsatser innehållade orden Super Resolution image generation.

  1. 1. Multiple-Emitter Super-resolution Imaging using the Alternating Descent Conditional Gradient Method

    Kandidat-uppsats, Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation; Lunds universitet/Institutionen för astronomi och teoretisk fysik - Genomgår omorganisation

    Författare :Dolev Illouz; [2023]
    Nyckelord :super-resolution; alternating descent conditional gradient method; ADCG; multiple-emitter localization; nanoscale imaging; single molecule tracking; Physics and Astronomy;

    Sammanfattning : This thesis examines the state-of-the-art 2D super-resolution technique alternating descent conditional gradient (ADCG) method's ability to accurately localize fluorophores in diffraction-limited single molecule images (SMI) and analyze the impact of pre-processing and post-processing modules on ADCG's fluorophore localization. A synthetic dataset obtained from the 2013 Grand Challenge localization microscopy and a temporally linked dataset obtained from an unpublished set of Optical DNA mapping experiments performed by Jonathan Jeffet at the NanoBioPhotonix Lab at Tel-Aviv University were initially segmented to extract their noise parameters. LÄS MER

  3. 2. Trainable Region of Interest Prediction: Hard Attention Framework for Hardware-Efficient Event-Based Computer Vision Neural Networks on Neuromorphic Processors

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Cina Arjmand; [2023]
    Nyckelord :Artifical Intelligence; Machine Learning; Neuromorphic Engineering; Computer Vision; Technology and Engineering;

    Sammanfattning : Neuromorphic processors are a promising new type of hardware for optimizing neural network computation using biologically-inspired principles. They can effectively leverage information sparsity such as in images from event-based cameras, and are well-adapted to processing event-based data in an energy-efficient fashion. LÄS MER

  4. 3. Object Detection with Deep Convolutional Neural Networks in Images with Various Lighting Conditions and Limited Resolution

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

    Författare :Roman Landin; [2021]
    Nyckelord :Object detection; Super Resolution image generation; Low-Light image enhancement; Computer Vision; Detektion av objekt; Bildgenerering med superupplösning; Förbättring av bilder med dålig belysning; Datorseende;

    Sammanfattning : Computer vision is a key component of any autonomous system. Real world computer vision applications rely on a proper and accurate detection and classification of objects. A detection algorithm that doesn’t guarantee reasonable detection accuracy is not applicable in real time scenarios where safety is the main objective. LÄS MER