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Total Variation Based Perceptual Image Quality Assessment Modeling
- Source :
- J. Appl. Math., Journal of Applied Mathematics, Vol 2014 (2014)
- Publication Year :
- 2014
- Publisher :
- Hindawi Publishing Corporation, 2014.
-
Abstract
- 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.
- Subjects :
- Article Subject
business.industry
Image quality
Applied Mathematics
lcsh:Mathematics
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Image processing
lcsh:QA1-939
Measure (mathematics)
Image texture
Digital image processing
Human visual system model
Computer vision
Artificial intelligence
Image warping
business
Mathematics
Feature detection (computer vision)
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- J. Appl. Math., Journal of Applied Mathematics, Vol 2014 (2014)
- Accession number :
- edsair.doi.dedup.....fafaea243efe0348cc198b28e84bcd50