Total Variation Based Perceptual Image Quality Assessment Modeling
Joint Authors
Duan, Ran
Wu, Yadong
Zhang, Hongying
Source
Journal of Applied Mathematics
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-01
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Visual quality measure is one of the fundamental and important issues to numerous applications of image and video processing.
In this paper, based on the assumption that human visual system is sensitive to image structures (edges) and image local luminance (light stimulation), we propose a new perceptual image quality assessment (PIQA) measure based on total variation (TV) model (TVPIQA) in spatial domain.
The proposed measure compares TVs between a distorted image and its reference image to represent the loss of image structural information.
Because of the good performance of TV model in describing edges, the proposed TVPIQA measure can illustrate image structure information very well.
In addition, the energy of enclosed regions in a difference image between the reference image and its distorted image is used to measure the missing luminance information which is sensitive to human visual system.
Finally, we validate the performance of TVPIQA measure with Cornell-A57, IVC, TID2008, and CSIQ databases and show that TVPIQA measure outperforms recent state-of-the-art image quality assessment measures.
American Psychological Association (APA)
Wu, Yadong& Zhang, Hongying& Duan, Ran. 2014. Total Variation Based Perceptual Image Quality Assessment Modeling. Journal of Applied Mathematics،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-461175
Modern Language Association (MLA)
Wu, Yadong…[et al.]. Total Variation Based Perceptual Image Quality Assessment Modeling. Journal of Applied Mathematics No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-461175
American Medical Association (AMA)
Wu, Yadong& Zhang, Hongying& Duan, Ran. Total Variation Based Perceptual Image Quality Assessment Modeling. Journal of Applied Mathematics. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-461175
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-461175