Name
Title | ||
|---|---|---|
FQI: feature-based reduced-reference image quality assessment method for screen content images |
Abstract | ||
|---|---|---|
In this study, a reduced-reference image-quality-assessment (IQA) method for screen content images, named as feature-quality-index (FQI) is proposed. The proposed method is based on the fact that the human visual system is more sensitive towards change in features than intensity or structure. Reduced features from the reference and distorted images are first extracted. In order to find the preserv... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1049/iet-ipr.2018.5496 | IET Image Processing |
Keywords | Field | DocType |
feature extraction,image matching | Computer vision,Pattern recognition,Human visual system model,Reference image,Robustness (computer science),Mean opinion score,Feature matching,Artificial intelligence,Feature based,Mathematics,Distance-vector routing protocol | Journal |
Volume | Issue | ISSN |
13 | 7 | 1751-9659 |
Citations | PageRank | References |
1 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rahul Kumar | 1 | 289 | 33.86 |
| Anil Kumar Tiwari | 2 | 65 | 17.51 |