Date of Award
8-13-2019
Degree Type
Thesis
Degree Name
Master of Science (MS)
Department
Computer Science
First Advisor
Anu Bourgeois
Second Advisor
Rajshekhar Sunderraman
Third Advisor
Yubao Wu
Abstract
Deep Neural Networks have the tendency to be easily fooled and research has shown that these neural networks consider unrecognizable images as recognizable. And, essentially this could lead to a lot of problems in secure systems based on image recognition. As, a solution to this problem, this paper a denoising architecture that extracts the noise from an image thus enabling the neural network to accurately label an image.
DOI
https://doi.org/10.57709/14946276
Recommended Citation
Kokkirala, Nikhita, "Deep Neural Networks to Denoise Images." Thesis, Georgia State University, 2019.
doi: https://doi.org/10.57709/14946276
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