Name
Abstract | ||
|---|---|---|
Smartphones were developed as an advanced communication tool. Currently they are used in various applications. The display is one of the most important features in smartphones. Compared with television (TV) and cinema screens the display size of a smartphone is small. However, TV and film content is commonly enjoyed on smartphone screens. Currently, the smartphone display is one of the most used displays for various kinds of content. In the past it was thought that it would be difficult to recognize the resolution differences on small displays. However, this is no longer the case. The resolution of smartphones have been steadily improving, and high-definition television (HDTV) (1,920 x 1,080 pixels) viewing resolution support is common. Signal processing is another way to improve resolution. Super resolution (SR) has become an interesting research field and is applied to images and videos. SR is a technology for improving display resolution. Consequently, SR is mainly studied for application to TV screens and computer displays. SR technology algorithms are complex and a heavy load for a smartphone's central or graphics processing unit (CPU/GPU). It is very difficult to apply SR for real-time videos on smartphones. Consequently, there have been no reports in SR for smartphones. This paper proposes a method for implementing real-time SR in smartphones. This method works for real-time videos on a smartphone GPU with the developed software. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.5220/0005991301060112 | SIGMAP: PROCEEDINGS OF THE 13TH INTERNATIONAL JOINT CONFERENCE ON E-BUSINESS AND TELECOMMUNICATIONS - VOL. 5 |
Keywords | Field | DocType |
Smartphone,Real-time Video Processing,Nyquist Frequency,Super Resolution | Computer vision,Signal processing,Display resolution,Display size,Computer graphics (images),Computer science,Software,Artificial intelligence,Pixel,Graphics processing unit,Multimedia,Superresolution | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Seiichi Gohshi | 1 | 71 | 18.16 |
| Sakae Inoue | 2 | 0 | 0.34 |
| Isao Masuda | 3 | 14 | 6.37 |
| Takashi Ichinose | 4 | 0 | 0.34 |
| Yoshika Tatsumi | 5 | 0 | 0.34 |