Essays about: "Objective Image Quality Metrics"
Showing result 1 - 5 of 13 essays containing the words Objective Image Quality Metrics.
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1. Objective measurement of video quality
University essay from Uppsala universitet/Avdelningen Vi3Abstract : 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
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2. Quality Assessment for Halftone Images
University essay from Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakultetenAbstract : 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
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3. High Resolution Quality Enhancement of Digitized Artwork using Generative Adversarial Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Digitization of physical artwork is usually done using image scanning devices in order to ensure that the output is accurate in terms of color and is of sufficiently high resolution, usually over 300 pixels per inch, however the usage of such a device is in some cases unfeasible due to medium or size constraints. Photography of the artwork is another method of artwork digitization, however such methods often produce results containing camera artifacts such as shadows, reflections or low resolution. READ MORE
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4. Automatic Colour Transfer for Geodata
University essay from Linköpings universitet/DatorseendeAbstract : This thesis investigates methods for automatic colour transfer when working withgeodata and possible metrics to evaluate the results. Several methods for colourtransfer as well as methods to create an objective measurement were tested. READ MORE
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5. Uncertainty Estimation in Deep Neural Object Detectors for Autonomous Driving
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : One of the most challenging problems in autonomous driving, and in computer vision in general, is the task of object detection. Recently, the advances of deep learning in the domain of computer vision have led the research community to apply ideas from deep learning to the problem of object detection. READ MORE