Essays about: "Image Enhancement"

Showing result 1 - 5 of 101 essays containing the words Image Enhancement.

  1. 1. Mutual Enhancement of Environment Recognition and Semantic Segmentation in Indoor Environment

    University essay from

    Author : Venkata Vamsi Challa; [2024]
    Keywords : Semantic Segmentation; Scene Classification; Environment Recognition; Machine Learning; Deep Learning; Image Classification; Vision Transformers; SAM Segment Anything Model ; Image Segmentation; Contour-aware semantic segmentation;

    Abstract : Background:The dynamic field of computer vision and artificial intelligence has continually evolved, pushing the boundaries in areas like semantic segmentation andenvironmental recognition, pivotal for indoor scene analysis. This research investigates the integration of these two technologies, examining their synergy and implicayions for enhancing indoor scene understanding. READ MORE

  3. 2. ISAR Imaging Enhancement Without High-Resolution Ground Truth

    University essay from Linköpings universitet/Datorseende

    Author : Moltas Enåkander; [2023]
    Keywords : SAR; SAR Imaging; ISAR; ISAR Imaging; Machine learning; Convolutional neural network; CNN; neural network; Super resolution; Unsupervised learning;

    Abstract : In synthetic aperture radar (SAR) and inverse synthetic aperture radar (ISAR), an imaging radar emits electromagnetic waves of varying frequencies towards a target and the backscattered waves are collected. By either moving the radar antenna or rotating the target and combining the collected waves, a much longer synthetic aperture can be created. READ MORE

  4. 3. Quality enhancement of time-resolved computed tomography scans with cycleGAN

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

    Author : Johannes Stubbe; [2023]
    Keywords : carbon fibers; carbon fibres; microfibers; tomography; deep learning; cycleGAN; time-resolved tomography; Physics and Astronomy;

    Abstract : 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. READ MORE

  5. 4. Domain Adaptation for Multi-Contrast Image Segmentation in Cardiac Magnetic Resonance Imaging

    University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Author : Thomas Proudhon; [2023]
    Keywords : Cardiac Magnetic Resonance Imaging; Deep Learning; Domain Adaptation; Unsupervised Segmentation; Image-to-image Translation;

    Abstract : Accurate segmentation of the ventricles and myocardium on Cardiac Magnetic Resonance (CMR) images is crucial to assess the functioning of the heart or to diagnose patients suffering from myocardial infarction. However, the domain shift existing between the multiple sequences of CMR data prevents a deep learning model trained on a specific contrast to be used on a different sequence. READ MORE

  6. 5. Robust visual SLAM with compressed image data : A study of ORB-SLAM3 performance under extreme image compression

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

    Author : Guangzhi Wang; [2023]
    Keywords : ORB-SLAM3; compression; image feature; localization accuracy; internal parameter; hybrid compressing; brightness enhancement; ORB-SLAM3; kompression; bildfunktion; lokaliseringsnoggrannhet; intern parameter; hybridkomprimering; ljusstyrkeförstärkning;

    Abstract : Offloading SLAM to the edge/cloud is now becoming an attractive option to greatly decrease device energy usage. The new SLAM solution involves compressing image data on the device before transmission, allowing a further decrease in the network bandwidth when performing SLAM at the edge/cloud. READ MORE