Sökning: "Subjective image quality"

Visar resultat 1 - 5 av 50 uppsatser innehållade orden Subjective image quality.

  1. 1. Objective measurement of video quality

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen Vi3

    Författare :Hugo Granström; [2023]
    Nyckelord :image analysis; video analysis; sharpness; colorfulness; contrast; aesthetics; video stabilization; video stability; bildanalys; videoanalys; skärpa; färgladhet; kontrast; estetiskhet; videostabilisering;

    Sammanfattning : Automatic video quality assessment has many potential use cases in today’s video-filledsociety, for example, when trying to find highlights in a video. This thesis studies the possibilityof extracting the best segments from a video automatically based on five selected metrics:sharpness, colorfulness, contrast, stability, and aesthetics. LÄS MER

  3. 2. Patienters upplevelser av cancerrelaterad fatigue : en litteraturöversikt

    Kandidat-uppsats, Sophiahemmet Högskola

    Författare :Anna Hedberg; Julia Hübinette; [2023]
    Nyckelord :Cancer-related fatigue; Experience; Patient; Suffering; Cancerrelaterad fatigue; Upplevelse; Patient; Lidande;

    Sammanfattning : Bakgrund   Cancer är en vanlig sjukdom och förväntas öka betydligt de kommande åren. Cancersjukdom har både fysiska, psykiska, sociala och existentiella konsekvenser samt stora konsekvenser för anhöriga. LÄS MER

  4. 3. Quality Assessment for Halftone Images

    Magister-uppsats, Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakulteten

    Författare :Johnny Elmèr; [2023]
    Nyckelord :Image Quality; Halftoning; Subjective Image Quality Assessment; Subjective Testing; Objective Image Quality Metrics;

    Sammanfattning : Halftones are reproductions of images created through the process of halftoning. The goal of halftones is to create a replica of an image which, at a distance, looks nearly identical to the original. Several different methods for producing these halftones are available, three of which are error diffusion, DBS and IMCDP. LÄS MER

  5. 4. Fingerprint Synthesis Using Deep Generative Models

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Weizhong Tang; Diego André Figueroa Llamosas; [2023]
    Nyckelord :Fingerprint Synthesis; Deep Generative Models; Style Transfer; Metrics; Technology and Engineering;

    Sammanfattning : The advancements in biometric technology have amplified the need for more robust fingerprint synthesis techniques. In this thesis, we first explored the application of synthesizing normal fingerprint images in high fidelity using deep generative models (e.g. LÄS MER

  7. 5. Analyzing the Negative Log-Likelihood Loss in Generative Modeling

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

    Författare :Aleix Espuña I Fontcuberta; [2022]
    Nyckelord :Generative modeling; Normalizing flows; Generative Adversarial Networks; MaximumLikelihood Estimation; Real Non-Volume Preserving flow; Fréchet Inception Distance; Misspecification; Generativa metoder; Normalizing flows; Generative adversarial networks; Maximum likelihood-metoden; Real non-volume preserving flow; Fréchet inception distance; felspecificerade modeller;

    Sammanfattning : Maximum-Likelihood Estimation (MLE) is a classic model-fitting method from probability theory. However, it has been argued repeatedly that MLE is inappropriate for synthesis applications, since its priorities are at odds with important principles of human perception, and that, e.g. LÄS MER