Proceedings of the 3rd International Conference on Material, Mechanical and Manufacturing Engineering

Image Quality Assessment Method Based on Contourlet Transform and Generalized Gamma Distribution

Authors
Bin Wang
Corresponding Author
Bin Wang
Available Online August 2015.
DOI
10.2991/ic3me-15.2015.211How to use a DOI?
Keywords
Image Quality Assessment; Contourlet Transform; Generalized Gamma Distribution.
Abstract

This paper proposes a new image quality assessment approach based on Contourlet transform and generalized gamma distribution (GGD). The image is processed by Contourlet transform at first and the Contouelet coefficients are modeled by GGD. The parameter of GGD is estimated and the feature vector is formed by combining the parameter of GGD. The feature vector is fed to the support vector machine for training and testing. Experimental results on LIVE database show that our approach has good correlation with the subjective character of human vision.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 3rd International Conference on Material, Mechanical and Manufacturing Engineering
Series
Advances in Engineering Research
Publication Date
August 2015
ISBN
978-94-6252-100-1
ISSN
2352-5401
DOI
10.2991/ic3me-15.2015.211How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Bin Wang
PY  - 2015/08
DA  - 2015/08
TI  - Image Quality Assessment Method Based on Contourlet Transform and Generalized Gamma Distribution
BT  - Proceedings of the 3rd International Conference on Material, Mechanical and Manufacturing Engineering
PB  - Atlantis Press
SP  - 1091
EP  - 1094
SN  - 2352-5401
UR  - https://doi.org/10.2991/ic3me-15.2015.211
DO  - 10.2991/ic3me-15.2015.211
ID  - Wang2015/08
ER  -