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Articles 1 - 3 of 3
Full-Text Articles in Computer Engineering
Nonlinear Adaptive Diffusion Models For Image Denoising, Ajay Kumar Mandava
Nonlinear Adaptive Diffusion Models For Image Denoising, Ajay Kumar Mandava
UNLV Theses, Dissertations, Professional Papers, and Capstones
Most of digital image applications demand on high image quality. Unfortunately, images often are degraded by noise during the formation, transmission, and recording processes. Hence, image denoising is an essential processing step preceding visual and automated analyses. Image denoising methods can reduce image contrast, create block or ring artifacts in the process of denoising. In this dissertation, we develop high performance non-linear diffusion based image denoising methods, capable to preserve edges and maintain high visual quality. This is attained by different approaches: First, a nonlinear diffusion is presented with robust M-estimators as diffusivity functions. Secondly, the knowledge of textons derived …
Communication Artifacts And Interaction Evaluation For Requirements Engineering, Miloslava Plachkinova
Communication Artifacts And Interaction Evaluation For Requirements Engineering, Miloslava Plachkinova
UNLV Theses, Dissertations, Professional Papers, and Capstones
This paper aims to answer an important question regarding the development of new information systems (IS): "What is the predominant factor for the selection of communication artifacts for requirements engineering (RE)?". Many researchers have focused on the RE and communication as separate disciplines, but little or no research addressed the RE communication issues. These problems are important because they often lead to misunderstanding and misinterpretation of the gathered requirements. We develop expectations about the RE communication process based on prior literature from both disciplines and we test them through several case studies. Our methodology consists of analysis of six case …
An Online Algorithm For The 2-Server Problem On The Line With Improved Competitiveness, Lucas Adam Bang
An Online Algorithm For The 2-Server Problem On The Line With Improved Competitiveness, Lucas Adam Bang
UNLV Theses, Dissertations, Professional Papers, and Capstones
In this thesis we present a randomized online algorithm for the 2-server problem on the line, named R-LINE (for Randomized Line). This algorithm achieves the lowest competitive ratio of any known randomized algorithm for the 2-server problem on the line.
The competitiveness of R-LINE is less than 1.901. This result provides a significant improvement over the previous known competitiveness of 155/78 (approximately 1.987), by Bartal, Chrobak, and Larmore, which was the first randomized algorithm for the 2-server problem one the line with competitiveness less than 2. Taking inspiration from this algorithm,we improve this result by utilizing ideas from T-theory, game …