Image Quality Enhancement Using Machine Learning

Authors

• Wesley O'Quinn, Georgia Southern University
• Rami J. Haddad, Georgia Southern UniversityFollow

Document Type

Conference Proceeding

Publication Date

10-4-2018

Publication Title

Southeastcon 2018 Proceedings

DOI

10.1109/SECON.2018.8479289

Abstract

In this paper, we are proposing an image quality enhancement technique for surveillance cameras. In this technique, we use high-resolution reference images to train a neural network that will be used to improve the quality of low-resolution images. This process is used in the frequency domain using the discrete cosine transform. The method was proven to improve image quality by almost 20%.

Comments

Georgia Southern University faculty member, Rami J. Haddad co-authored,"Image Quality Enhancement Using Machine Learning."

Recommended Citation

O'Quinn, Wesley, Rami J. Haddad. 2018. "Image Quality Enhancement Using Machine Learning." Southeastcon 2018 Proceedings: Institute of Electrical and Electronics Engineers Inc.. doi: 10.1109/SECON.2018.8479289
https://digitalcommons.georgiasouthern.edu/electrical-eng-facpubs/207

Copyright

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