Name
Abstract | ||
|---|---|---|
Differentiating region-of-interest (ROI) from non-ROI in an image in terms of relative size as well as fidelity becomes an important functionality for future visual communication environment with a variety of display devices. In this paper, we propose a scalable image representation with the ROI functionality in the spatial domain, which allows us to generate a hierarchy of images with arbitrary sizes. The ROI functionality of our scalable representation is a result of a nonuniform grid transformation in the spatial domain, where only the center of ROI and an expansion parameter are to be known. Our grid transformation guarantees no loss of information within the area of ROI. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/TIP.2010.2090534 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
low frequency,nonuniform sampling,image reconstruction,image pyramid,region of interest,display device,indexation,scalable video coding,algorithms,display devices,indexes,interpolation,visual communication,pixel,complex data,low pass filter | Computer vision,Computer science,Pyramid (image processing),Display device,Pixel,Visual communication,Artificial intelligence,Region of interest,Grid,Scalable Video Coding,Scalability | Journal |
Volume | Issue | ISSN |
20 | 5 | 1057-7149 |
Citations | PageRank | References |
6 | 0.50 | 11 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chee Sun Won | 1 | 573 | 87.74 |
| S. Shirani | 2 | 301 | 25.69 |