Authors:
Sergio A. C. Bezerra
1
and
Alexandre Pohl
2
Affiliations:
1
Federal Institute of Education, Science and Technology of the Amazonas (IFAM) and Federal University of Technology - Paraná, Brazil
;
2
Federal University of Technology - Paraná, Brazil
Keyword(s):
Human Visual System, Objective Image Quality Metrics, Foveated Image, Ganglion Cells.
Related
Ontology
Subjects/Areas/Topics:
Audio and Video Quality Assessment
;
Multimedia
;
Multimedia and Communications
;
Multimedia Signal Processing
;
Multimedia Systems and Applications
;
Perceptual/Human Audiovisual System Modeling
;
Performance Measurement and Evaluation, Qos.
;
Telecommunications
Abstract:
In this work, a foveated model (FM) based on the action potential of ganglion cells in the human retina is
employed to improve the results obtained by traditional and perceptual image quality metrics. LIVE and
VAIQ image databases are used in the experiments to test and validate this model. Statistical techniques,
such as the Pearson Linear Correlation Coefficient (PLCC), the Spearman Rank-Order Correlation Coefficient
(SROCC) and the Root Mean Square Error (RMSE), are used to evaluate the performance of Peak Signal-to-
Noise Ratio (PSNR) and Structural SIMilarity (SSIM) metrics, as well as their versions improved by the FM.
The results are encouraging because the model proposed improve the performance of the metrics investigated.