期刊
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
卷 28, 期 9, 页码 2428-2432出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCSVT.2018.2854176
关键词
Human visual system (HVS); image quality assessment (IQA); screen content image (SCI); multi-scale difference of Gaussian
资金
- National Natural Science Foundation of China [61401167, 61372107, 61602191]
- Natural Science Foundation of Fujian Province [2016J01308, 2017J05103]
- Fujian-100 Talented People Program
- High-level Talent Innovation Program of Quanzhou City [2017G027]
- Promotion Program for Young and Middle-aged Teacher in Science and Technology Research of Huaqiao University [ZQN-YX403, ZQN-PY418]
- High-Level Talent Project Foundation of Huaqiao University [14BS201, 14BS204, 16BS108]
In this paper, a novel image quality assessment (IQA) model for the screen content images (SCIs) is proposed by using multi-scale difference of Gaussian (MDOG). Motivated by the observation that the human visual system (HVS) is sensitive to the edges while the image details can be better explored in different scales, the proposed model exploits MDOG to effectively characterize the edge information of the reference and distorted SCIs at two different scales, respectively. Then, the degree of edge similarity is measured in terms of the smaller-scale edge map. Finally, the edge strength computed based on the larger-scale edge map is used as the weighting factor to generate the final SCI quality score. Experimental results have shown that the proposed IQA model for the SCIs produces high consistency with human perception of the SCI quality and outperforms the state-of-the-art quality models.
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