Sökning: "Contrast Enhancement"

Visar resultat 1 - 5 av 59 uppsatser innehållade orden Contrast Enhancement.

  1. 1. Perception of urban blue-green infrastructure during winter in Gothenburg

    Master-uppsats, Göteborgs universitet/Institutionen för geovetenskaper

    Författare :Mikaela Torell; [2023-08-17]
    Nyckelord :perception; greenery; water; urban environment; recreation;

    Sammanfattning : Life in urban settlements is often associated with insufficient physical activity and continuous stress. By implementing blue-green infrastructure (BGI) consisting of parks, trees, ponds, and rain gardens, amongst others, recreational values can be provided for the residents. LÄS MER

  3. 2. Assessing the Costs and Benefits of Proactively Adding Features in opensource system Bitcoin-Wallet: A Simulation study

    Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Ramzi Samir Masoud Abu Zahra; [2023-08-03]
    Nyckelord :Simulator; annotations; traceability;

    Sammanfattning : Objective: This paper builds on previous research and expands on the cost-benefit analysis of proactive feature annotation, with a focus on using Java to validate the findings from a real-world case study. Background: The significance of features within a system lies behind the need to locate them as they often necessitate identification for enhancement, and editing-related activities. LÄS MER

  4. 3. Shape depiction using Local Light Alignment : Evaluating the shape enhancement capabilities of the Local Light Alignment technique at multiple scales

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

    Författare :Edvard Ahlsén; [2023]
    Nyckelord :Shape depiction; Non-photorealistic rendering; Shading; Multiple scales; Formskildring; ickerealistisk rendering; skuggning; skalrymdsmetoder;

    Sammanfattning : Local Light Alignment is a new shading based technique in the field of shape depiction, a field which concerns itself with techniques to represent and enhance the three-dimensional (3D) shape of objects in two-dimensional (2D) visual media. The main idea of Local Light Alignment is to locally adjust the incoming direction of light to create contrast in a way that enhances the perception of shape and surface detail. LÄS MER

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

    Master-uppsats, Lunds universitet/Synkrotronljusfysik; Lunds universitet/Fysiska institutionen

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

    Sammanfattning : 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. LÄS MER

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

    Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

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

    Sammanfattning : 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. LÄS MER