Image Quality Enhancement Using Machine Learning

Wesley O'Quinn; Rami J. Haddad

doi:10.1109/SECON.2018.8479289

Image Quality Enhancement Using Machine Learning

Wesley O'Quinn, Rami J. Haddad

Electrical & Computer Engineering

Georgia Southern University

Research output: Contribution to book or proceeding › Conference article › peer-review

3 Scopus citations

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%.

Original language	English
Title of host publication	Southeastcon 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538661338
DOIs	https://doi.org/10.1109/SECON.2018.8479289
State	Published - Oct 1 2018
Event	2018 IEEE Southeastcon, Southeastcon 2018 - St. Petersburg, United States Duration: Apr 19 2018 → Apr 22 2018

Publication series

Name	Conference Proceedings - IEEE SOUTHEASTCON
Volume	2018-April
ISSN (Print)	1091-0050
ISSN (Electronic)	1558-058X

Conference

Conference	2018 IEEE Southeastcon, Southeastcon 2018
Country/Territory	United States
City	St. Petersburg
Period	04/19/18 → 04/22/18

Scopus Subject Areas

Computer Networks and Communications
Software
Electrical and Electronic Engineering
Control and Systems Engineering
Signal Processing

Keywords

Artificial Intelligence
Discrete Cosine Transform
Image Processing
Image Quality Enhancement
Neural Network

Access to Document

10.1109/SECON.2018.8479289

Cite this

@inproceedings{e8a755f0609b42e8a1bc600a02d1b638,

title = "Image Quality Enhancement Using Machine Learning",

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%.",

keywords = "Artificial Intelligence, Discrete Cosine Transform, Image Processing, Image Quality Enhancement, Neural Network",

author = "Wesley O'Quinn and Haddad, {Rami J.}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE Southeastcon, Southeastcon 2018 ; Conference date: 19-04-2018 Through 22-04-2018",

year = "2018",

month = oct,

day = "1",

doi = "10.1109/SECON.2018.8479289",

language = "English",

series = "Conference Proceedings - IEEE SOUTHEASTCON",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "Southeastcon 2018",

address = "United States",

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TY - GEN

T1 - Image Quality Enhancement Using Machine Learning

AU - O'Quinn, Wesley

AU - Haddad, Rami J.

PY - 2018/10/1

Y1 - 2018/10/1

N2 - 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%.

AB - 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%.

KW - Artificial Intelligence

KW - Discrete Cosine Transform

KW - Image Processing

KW - Image Quality Enhancement

KW - Neural Network

UR - http://www.scopus.com/inward/record.url?scp=85056131593&partnerID=8YFLogxK

U2 - 10.1109/SECON.2018.8479289

DO - 10.1109/SECON.2018.8479289

M3 - Conference article

AN - SCOPUS:85056131593

T3 - Conference Proceedings - IEEE SOUTHEASTCON

BT - Southeastcon 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2018 IEEE Southeastcon, Southeastcon 2018

Y2 - 19 April 2018 through 22 April 2018

ER -

Image Quality Enhancement Using Machine Learning

Abstract

Publication series

Conference

Scopus Subject Areas

Keywords

Access to Document

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