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Showing result 1 - 5 of 40 essays matching the above criteria.

  1. 1. Objective measurement of video quality

    University essay from Uppsala universitet/Avdelningen Vi3

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

    Abstract : 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. READ MORE

  3. 2. Quality Assessment for Halftone Images

    University essay from Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakulteten

    Author : Johnny Elmèr; [2023]
    Keywords : Image Quality; Halftoning; Subjective Image Quality Assessment; Subjective Testing; Objective Image Quality Metrics;

    Abstract : 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. READ MORE

  4. 3. Fingerprint Synthesis Using Deep Generative Models

    University essay from Lunds universitet/Matematik LTH

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

    Abstract : 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. READ MORE

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

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

    Author : Aleix Espuña I Fontcuberta; [2022]
    Keywords : 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;

    Abstract : 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. READ MORE

  6. 5. Artifact-Free Image Upscaling : An Evaluation of an Artifact-Free Color Interpolation Algorithm with Respect to Visual Quality

    University essay from Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakulteten

    Author : Arvid Magnusson; Algot Sandahl; [2022]
    Keywords : ;

    Abstract : The vast number of different sizes and resolutions for digital displays today means that images regularly have to be upscaled or downscaled to fit the current screen. This scaling is almost always done using interpolation. READ MORE