Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 18 of 18 for “"Image Transformation"”.
-
Digital image transformation and compression
… optimal compression methods for high quality images where no visual distortion is essential. The need for such algorithms is great, particularly for satellite, medical and motion picture imaging. In these situations any degradation in image quality is unacceptable, yet the resolutions of the …
-
A low power display driver with simultaneous image transformation
… exploited to perform a matrix multiplication (image transformation) over a single frame period. This image transformation was used as the last step of the decompression process in an image processing system. The system was implemented first in Matlab, then as a printed circuit board, and …
-
Generalized Constrained Interpolation
<p>Interpolation is essential in digital image processing, especially magnification. Many different approaches to interpolation specific to magnification have been developed in an effort to overcome the shortcomings of bilinear and bicubic interpolation. One of these approaches, Constraint-Based …
-
Scripting graphics with graphics : icons as a visual editing tool
… or "icons." The icons are small bitmap images that carry with them information about spatial placement, list placement, and pointers to procedures. Icons have been created and connected to a series of image transformation procedures. Two interactive graphic software packages have been …
-
Multi-touch through-the-lens drone control
… has to think not only in terms of the desired image but also how the drone needs to move in order to capture it. We implemented a gestural system that would allow the user to control a drone in a more intuitive manner that abstracts away low-level motor controls. The idea is to allow a user to …
-
Data-driven Automatic Edge Sharpening
Sharpening is a powerful image transformation because sharp edges can bring out image details. Sharpness is achieved by increasing local contrast and reducing edge widths. We present a method that enhances sharpness of images and thereby their perceptual quality. Most existing enhancement …
-
Inferring program sequences for texture generation with learned abstractions
… neural networks that can learn a sequence of transformations which convert a specfic program input to an output, and from that infer which sequence of transitions one can use to generate an output from a given input. A specfic use case we explore is to take an image or a specfic property of …
-
Improving Impulse Audio Source Separation using Generative Adversarial Networks for Phase Generation
… Adversarial Networks (GANs), often used in image transformation, in generating the phase of the cIRM, with human test subjects to evaluate whether intelligibility of separated speech was improved. The GAN showed promise in generating phase-like results, although imperfect transformation …
-
A Detailed Study of Fan-Shaped Film-Cooling for a Nozzle Guide Vane for an Industrial Gas Turbine
… wall temperatures, and a unique rigorous image transformation routine was developed to unwrap the surface images. Film-cooling computations were also done comparing the performance of two popular turbulence models, the RNG-kε and the v2-f model, in predicting film-cooling effectiveness. …
-
Robust Number Plate Detection Algorithms
… the characters in their number plates via image analysis and pattern recognition techniques. In an ANPR system, the most crucial part is number plate detection. The research presented in this thesis focuses on the detection mechanism and will rely on a third-party Optical Character …
-
Perceptual Manipulations for Hiding Image Transformations in Virtual Reality
… I investigated how the visibility of various image transformations differed, during combinations of saccade and head rotation conditions. Additionally, I studied how hand and gaze interaction, affected image change discrimination in an inattentional blindness task. I conducted four …
-
Solar activity detection and prediction using image processing and machine learning techniques
… emerging flux regions and solar flares. Image processing and machine learning techniques are applied in this study. These methods can be used for automatic observation of solar activities and prediction of space weather that may have great influence on the near earth environment. The …
-
Fast, realistic terrain synthesis
… Height-maps share the same storage design as image files, as such they can be viewed like any picture and image transformation algorithms can be applied to them. Early techniques for generating terrains include fractal generation and physical simulation. These methods proved difficult to use …
-
Generative modelling and adversarial learning
… of real-world data, such as natural images. Generative adversarial networks (GAN), which are based on the adversarial learning paradigm, are one of the main types of methods for deriving generative models from complicated real-world data. GAN and its variants use a generator to …
-
Design and Exploration of a Computer Vision Based Unmanned Aerial Vehicle for Railroad Health Applications
… mounted on the belly. The camera will take images of the tracks while the onboard computer processes the images. The computer will locate the tracks in the image as well as perform defect detection on those tracks. Algorithms were implemented once a rough physical structure of the product …
-
Advanced Pre-Processing and Change-Detection Techniques for the Analysis of Multitemporal VHR Remote Sensing Images
Remote sensing images regularly acquired by satellite over the same geographical areas (multitemporal images) provide very important information on the land cover dynamic. In the last years the ever increasing availability of multitemporal very high geometrical resolution (VHR) remote sensing …
-
Learning for Visual Synthesis and Transformation
… synthesis aims to create pixel-level data (e.g., images and videos) based on descriptions such as texts, noise, semantic annotations and images. Recently, deep generative learning has greatly promoted the development of visual synthesis. However, the existing generative methods still suffer from …
-
A model-based approach to complex contour generation for process automation using computer vision
… computer vision techniques involving image transformation, enhancement and analysis of basic features such as edges, regions, shape, colour and texture, are reasonably well established and widely applied. The application of these techniques to directly generate the cutting contour of …