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Perceptual Quality Assessment for Screen Content Images by Spatial Continuity.
- Source :
- IEEE Transactions on Circuits & Systems for Video Technology; Nov2020, Vol. 30 Issue 11, p4050-4063, 14p
- Publication Year :
- 2020
-
Abstract
- In this paper, we propose an effective blind quality assessment method for screen content images (SCIs), called perceptual quality measure by spatial continuity (PQSC). With the center-surround mechanism in the human visual system (HVS), the proposed method extracts the statistical features on chromatic and textural variations in SCIs to measure the visual distortion. First, by considering the chromatic continuity between spatially adjacent pixels, photo-metric invariant chromatic descriptors are extracted as zero-order and first-order features. Second, motivated by the perceptual mechanism that the HVS is sensitive to image texture variation, we employ local ternary pattern operator to effectively depict the spatial continuity of texture. With these extracted chromatic and textural features, we further adopt histogram to compute the statistical chromatic and textural features. Support vector regression (SVR) is used to train the quality prediction model from visual features to human ratings. Experimental results on three public benchmark databases demonstrate that the performance of our method is superior to the current blind image quality assessment methods, even better than some full reference image quality assessment counterparts. [ABSTRACT FROM AUTHOR]
- Subjects :
- CONTINUITY
IMAGE color analysis
VIDEO coding
EDUCATIONAL tests & measurements
Subjects
Details
- Language :
- English
- ISSN :
- 10518215
- Volume :
- 30
- Issue :
- 11
- Database :
- Complementary Index
- Journal :
- IEEE Transactions on Circuits & Systems for Video Technology
- Publication Type :
- Academic Journal
- Accession number :
- 146783105
- Full Text :
- https://doi.org/10.1109/TCSVT.2019.2951747