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A NOVEL BLIND IMAGE QUALITY ASSESSMENT METHOD BASED ON REFINED NATURAL SCENE STATISTICS

Abstract: 

Natural scene statistics (NSS) model has received considerable attention in the image quality assessment (IQA) community due to its high sensitivity to image distortion. However, most existing NSS-based IQA methods extract features either from spatial domain or from transform domain. There is little work to simultaneously consider the features from these two domains. In this paper, a novel blind IQA method (NBIQA) based on refined NSS is proposed. The proposed NBIQA first investigates the performance of a large number of candidate features from both the spatial and transform domains. Based on the investigation, we construct a refined NSS model by selecting competitive features from existing NSS models and adding three new features. Then the refined NSS is fed into SVM tool to learn a simple regression model. Finally, the trained regression model is used to predict the scalar quality score of the image. Experimental results tested on both LIVE IQA and LIVE-C databases show that the proposed NBIQA performs better in terms of synthetic and authentic image distortion than current mainstream IQA methods.

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Paper Details

Authors:
Fu-Zhao Ou, Yuan-Gen Wang, Guopu Zhu
Submitted On:
20 September 2019 - 9:56am
Short Link:
Type:
Poster
Event:
Presenter's Name:
Fu-Zhao Ou
Paper Code:
1552
Document Year:
2019
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Document Files

icip2019_post.pdf

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[1] Fu-Zhao Ou, Yuan-Gen Wang, Guopu Zhu, "A NOVEL BLIND IMAGE QUALITY ASSESSMENT METHOD BASED ON REFINED NATURAL SCENE STATISTICS", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4779. Accessed: Oct. 18, 2019.
@article{4779-19,
url = {http://sigport.org/4779},
author = {Fu-Zhao Ou; Yuan-Gen Wang; Guopu Zhu },
publisher = {IEEE SigPort},
title = {A NOVEL BLIND IMAGE QUALITY ASSESSMENT METHOD BASED ON REFINED NATURAL SCENE STATISTICS},
year = {2019} }
TY - EJOUR
T1 - A NOVEL BLIND IMAGE QUALITY ASSESSMENT METHOD BASED ON REFINED NATURAL SCENE STATISTICS
AU - Fu-Zhao Ou; Yuan-Gen Wang; Guopu Zhu
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4779
ER -
Fu-Zhao Ou, Yuan-Gen Wang, Guopu Zhu. (2019). A NOVEL BLIND IMAGE QUALITY ASSESSMENT METHOD BASED ON REFINED NATURAL SCENE STATISTICS. IEEE SigPort. http://sigport.org/4779
Fu-Zhao Ou, Yuan-Gen Wang, Guopu Zhu, 2019. A NOVEL BLIND IMAGE QUALITY ASSESSMENT METHOD BASED ON REFINED NATURAL SCENE STATISTICS. Available at: http://sigport.org/4779.
Fu-Zhao Ou, Yuan-Gen Wang, Guopu Zhu. (2019). "A NOVEL BLIND IMAGE QUALITY ASSESSMENT METHOD BASED ON REFINED NATURAL SCENE STATISTICS." Web.
1. Fu-Zhao Ou, Yuan-Gen Wang, Guopu Zhu. A NOVEL BLIND IMAGE QUALITY ASSESSMENT METHOD BASED ON REFINED NATURAL SCENE STATISTICS [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4779