Name
Abstract | ||
|---|---|---|
Image resizing aims to adapt images to displays with different sizes and aspect ratios. In this paper, we provide a new image resizing approach for efficiently determining the non-homogeneous warp that better preserves the global image configuration and concentrates the distortion in regions of the image where they are least-likely to be noticed. Considering the different properties of large displays and small displays, we design different strategies for upsizing and downsizing. We define a variety of quadratic metrics to measure image distortion. We introduce a patch-linking scheme that can better preserve the global image configuration. We formulate image resizing as a quadratic minimization problem, which can be efficiently solved. We experiment with our method on a variety category of images and compare our results to the state of the art. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/s11042-010-0613-0 | Multimedia Tools Appl. |
Keywords | Field | DocType |
Image resizing,Image retargeting,Similarity transformation,Patch-linking scheme,Structure preserving,Linear system | Aspect ratio (image),Computer vision,Matrix similarity,Image warping,Resizing,Linear system,Computer science,Seam carving,Quadratic equation,Artificial intelligence,Distortion | Journal |
Volume | Issue | ISSN |
56 | 3 | 1380-7501 |
Citations | PageRank | References |
13 | 0.56 | 21 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuzhen Niu | 1 | 248 | 12.68 |
| Feng Liu | 2 | 578 | 31.61 |
| Xueqing Li | 3 | 61 | 8.62 |
| Michael Gleicher | 4 | 4378 | 351.49 |