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Title: The generation of digital elevation models using open source images
Date: 2018
Author(s): Ryerson University (Degree granting institution), Santosh Kumar, Nithin (Author), Shaker, Ahmed (Degree supervisor), Chapman, Michael (Degree supervisor)
Subject(s): Image processing -- Digital techniques, Altitudes -- Geographic information systems, Digital mapping, Artificial satellites in remote sensing
Program: Civil Engineering
Degree: Master of Engineering

Title: Two-stream fusion edge detection network
Date: 2018
Author(s): Ryerson University (Degree granting institution), Almawi, Hasan W. (Author), Derpanis, Kosta (Thesis advisor)
Subject(s): Image processing -- Digital techniques, Neural networks (Computer science), Convolutions (Mathematics), Operator theory, Optical measurements
Program: Computer Science
Degree: Master of Science

Title: Comparative analysis of different image denoising methods in spatial and transform domain
Date: 2017
Author(s): Ahmad, Zeeshan (Author), Geurkov, Vadim (Degree supervisor)
Subject(s): Electronic noise -- Prevention, Signal processing -- Digital techniques, Image processing -- Digital techniques
Program: Electrical and Computer Engineering
Degree: Master of Engineering

Title: Adoption of high frame rate live-action video content on social media platforms
Date: 2017
Author(s): Ryerson University (Degree granting institution), Soundrarajah, Vibhushan (Author)
Subject(s): Image processing -- Digital techniques, Digital cinematography, Video recording, Cinematography -- Special effects, Digital video, Streaming videos, Social media -- Design, Social media -- Research
Program: Digital Media
Degree: Master of Digital Media

Title: Design and implementation of convolutional neural network architectures for low-dose CT image noise reduction
Date: 2017
Author(s): Ryerson University (Degree granting institution), Badretale, Seyyedomid (Author), Alirezaie, Javad (Degree supervisor)
Subject(s): Image processing -- Digital techniques, Tomography, Electronic noise -- Prevention, Neural networks (Computer science)
Program: Electrical and Computer Engineering
Degree: Master of Applied Science

Title: Robust video event recognition
Date: 2016
Author(s): Ryerson University (Degree granting institution), Chen, Feifei (Author), Zhang, Xiao-Ping (Degree supervisor)
Subject(s): Human activity recognition, Image processing -- Digital techniques, Image analysis -- Data processing, Pattern recognition systems, Computer vision
Program: Computer Science
Degree: Master of Applied Science

Title: Image Denoising in Spatial and Transform Domains
Date: 2015
Author(s): Ryerson University (Degree granting institution), Sharifymoghaddam, Mina (Author)
Subject(s): Imaging systems -- Image quality, Digital filters (Mathematics), Electronic noise -- Prevention, Image processing -- Digital techniques
Program: Electrical and Computer Engineering
Degree: Master of Applied Science

Title: Machine recognition of human gestures through principal joint variable analysis
Date: 2015
Author(s): Ryerson University (Degree granting institution), Bulzacki, Adrian (Author), Raahemifar, Kaamran (Degree supervisor)
Subject(s): Machine learning -- Mathematical models, Human-computer interaction, Pattern recognition systems, Image processing -- Digital techniques
Program: Electrical and Computer Engineering
Degree: Doctor of Philosophy

Title: Adaptive Depth Guided Image Completion for Structure and Texture Synthesis
Date: 2015
Author(s): Ryerson University (Degree granting institution), Ciotta, Michael Luigi (Author), Androutsos, Dimitri (Degree supervisor)
Subject(s): Image reconstruction -- Mathematical models, Pattern recognition systems -- Mathematical models, Image processing -- Digital techniques
Program: Electrical and Computer Engineering
Degree: Master of Applied Science

Title: SoC for real - time object tracking in 3D space
Date: 2014
Author(s): Raducu, Rares (Author), Ryerson University (Degree grantor)
Subject(s): Systems on a chip -- Design and construction, Image processing -- Digital techniques, Three-dimensional display systems, Accidents -- Prevention
Program: Electrical and Computer Engineering
Degree: Master of Engineering (MEng)

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