Name
Title | ||
|---|---|---|
A multi-scale contrast-based image quality assessment model for multi-exposure image fusion. |
Abstract | ||
|---|---|---|
•Propose a multi-scale contrast-based IQA model for multi-exposure image fusion.•Extract contrast structure and contrast saturation to obtain contrast similarity map.•Compute the weight of each reference image based on its relevance to the MEF image.•Exploit multi-scale scheme to explore image details on MEF quality assessment.•Experimental results justify the accuracy and effectiveness of the proposed method. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.sigpro.2017.12.013 | Signal Processing |
Keywords | Field | DocType |
Multi-exposure image fusion,Image quality assessment,Contrast similarity measurement,Multi-scale scheme | Quality Score,Mathematical optimization,Degree of similarity,Pattern recognition,Image fusion,Human visual system model,Pooling,Reference image,Image quality,Artificial intelligence,Standard deviation,Mathematics | Journal |
Volume | ISSN | Citations |
145 | 0165-1684 | 8 |
PageRank | References | Authors |
0.46 | 16 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| lu xing | 1 | 19 | 2.23 |
| Lei Cai | 2 | 53 | 19.97 |
| Huanqiang Zeng | 3 | 395 | 36.94 |
| Jing Chen | 4 | 88 | 10.64 |
| Jianqing Zhu | 5 | 78 | 10.10 |
| Junhui Hou | 6 | 395 | 49.84 |