Name
Abstract | ||
|---|---|---|
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... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TCSVT.2018.2854176 | IEEE Transactions on Circuits and Systems for Video Technology |
Keywords | Field | DocType |
Image edge detection,Image quality,Quality assessment,Distortion measurement,Numerical analysis,Nickel | Computer vision,Quality Score,Weighting,Pattern recognition,Human visual system model,Computer science,Image quality,Artificial intelligence,Numerical analysis,Edge strength,Perception,Difference of Gaussians | Journal |
Volume | Issue | ISSN |
28 | 9 | 1051-8215 |
Citations | PageRank | References |
11 | 0.47 | 12 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ying Fu | 1 | 104 | 33.62 |
| Huanqiang Zeng | 2 | 395 | 36.94 |
| Lin Ma | 3 | 912 | 71.35 |
| Zhangkai Ni | 4 | 80 | 4.07 |
| Jianqing Zhu | 5 | 78 | 10.10 |
| Kai-Kuang Ma | 6 | 2309 | 180.29 |