Abstract | ||
---|---|---|
Recent years have witnessed a growing number of image and video centric applications on mobile, vehicular, and cloud platforms, involving a wide variety of digital screen content images. Unlike natural scene images captured with modern high fidelity cameras, screen content images are typically composed of fewer colors, simpler shapes, and a larger frequency of thin lines. In this paper, we develop... |
Year | DOI | Venue |
---|---|---|
2017 | 10.1109/TIP.2017.2711279 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
Distortion,Computational modeling,Complexity theory,Image coding,Feature extraction,Predictive models,Adaptation models | High fidelity,Computer vision,Pattern recognition,Source code,Computer science,Image coding,Image quality,Feature extraction,Artificial intelligence,Distortion,Big data,Cloud computing | Journal |
Volume | Issue | ISSN |
26 | 8 | 1057-7149 |
Citations | PageRank | References |
41 | 0.91 | 45 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ke Gu | 1 | 1321 | 77.21 |
Jun Zhou | 2 | 60 | 6.13 |
Jun-Fei Qiao | 3 | 798 | 74.56 |
Guangtao Zhai | 4 | 1707 | 145.33 |
Weisi Lin | 5 | 5366 | 280.14 |
Alan C. Bovik | 6 | 5062 | 349.55 |