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.
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Showing 1 to 20 of 44 for “"Image processing--Digital techniques"”.
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Deep learning-based framework for traffic estimation for the MLK Smart Corridor in downtown Chattanooga, TN
… spatial constraints. Finally we combined image perspective transformation with objects scaling to estimate speed with an error of 0.516 mph. Our comprehensive framework offers potential in applications like travel time estimation and benchmarking speed data.
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AM-FM methods for image and video processing
… (AM-FM) demodulation methods for image and video processing (there is currently a patent pending that covers the AM-FM methods and applications described in this dissertation). The motivation for this research lies in the wide number of image and video processing applications that …
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Depth information from image sequences using two-dimensional cepstrum
… the existing methods. One of the traditional techniques for extracting depth information is to find the disparities of corresponding points in stereo images following a biological model of 3-D vision. A normal binocular stereo system uses two images to determine which point in one image …
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Information retrieval and mining in high dimensional databases
… clustering. We also extend our algorithms for processing a class of similarity queries in databases of 3D graphs. In the second part of the dissertation, we present an index structure, called MetricMap, that takes a set of objects and a distance metric and then maps those objects to a …
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A robust patch-based synthesis framework for combining inconsistent images
Current methods for combining different images produce visible artifacts when the sources have very different textures and structures, come from far view points, or capture dynamic scenes with motions. In this thesis, we propose a patch-based synthesis algorithm to plausibly combine different …
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Cramer-Rao bound analysis of multi-frame blind deconvolution
… to estimate an object from a blurred and noisy image, characterized how the use of support constraints exploited spatial noise correlations to reduce noise in the estimate of the object. In multi-frame blind deconvolution, the blurring function is unknown and must be estimated along with the …
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Photoresist modeling for 365 nm and 257 nm laser photomask lithography and multi-analyte biosensors indexed through shape recognition
… of nonchemically amplified resist materials imaged at 365 nm. Lithography simulation uses photoresist models to simulate resist profile sidewall angles and linewidths over a wide range of process conditions. Lithography simulation dramatically reduces the number of expensive manufacturing …
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Advanced techniques for digital image processing
… algorithm for enhancing a degraded grey scale image is proposed here. The enhancement algorithm is a locally adaptive Fourier filter which locates and analyzes the Fourier spectral information and then enhances the identifying features. Thus, it can achieve a better enhancement result than …
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INFORMATION TRANSFER EFFICIENCY OF X-RAY IMAGE INTENSIFIER-BASED IMAGING SYSTEMS.
… and verified experimentally with an x-ray image intensifier (XRII)-based imaging system. In such a system, the DQE at low frequency range is primarily determined by the x-ray detection and scintillation processes at the CsI layer of the XRII. The effects of x-ray photon energy and sensor …
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High dynamic range video merging, tone mapping, and real-time implementation
… to capture sequences of Low Dynamic Range (LDR) images that can be used to form HDR images as the basis for HDR video. Because of the large diverence in exposure spacing of the LDR images captured by this camera, present methods of merging LDR images are insufficient to produce cinema quality HDR …
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Qualification of a CMOS linear image sensor LIS-1024
… of well-known applications are the optical imagers and sensors used for cameras, scanners, and barcode readers. The two prominent image sensor types are Complimentary Metal Oxide Semiconductor (CMOS) image sensors and Charge Coupled Devices (CCDs). While CMOS sensors have traditionally …
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Quantitative performance measures of color transformations in hybrid vector scalar quantization
In this digital world, increasing demand for images with higher resolution and size has led to a need for more effective methods of compression. This is especially time for color images where there is three times as much data as grayscale images. This thesis discusses the fundamentals of color …
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A Study of Perceptually Tuned, Wavelet Based, Rate Scalable, Image and Video Compression
… tuned wavelet based, rate scalable, and color image encoding/decoding system based on the human perceptual model. It is based on state-of-the-art research on embedded wavelet image compression technique, Contrast Sensitivity Function (CSF) for Human Visual System (HVS) and extends this scheme …
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Dynamically reconfigurable management of energy, performance, and accuracy applied to digital signal, image, and video Processing Applications
… for implementing dynamically reconfigurable digital signal, image, and video processing systems. The basic idea is to first generate a collection of Pareto-optimal realizations in the EPA/PPA space. Dynamic EPA/PPA management is then achieved by selecting the Pareto-optimal implementations …
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Development of a clustering algorithm for universal color image segmentation
Submitted in fulfillment of the requirements of the degree of Doctorate in Information Technology, Durban University of Technology, Durban, South Africa, 2022.
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