Multiresolution Imaging
文献类型：期刊论文
| 作者 | Lu, Xiaoqiang ; Li, Xuelong
|
| 刊名 | ieee transactions on cybernetics
 |
| 出版日期 | 2014 |
| 卷号 | 44期号:1页码:149-160 |
| 关键词 | Multiresolution camera multiresolution imaging optimal imagery super-resolution downsampling |
| ISSN号 | 2168-2267 |
| 英文摘要 | imaging resolution has been standing as a core parameter in various applications of vision. mostly, high resolutions are desirable or essential for many applications, e. g., in most remote sensing systems, and therefore much has been done to achieve a higher resolution of an image based on one or a series of images of relatively lower resolutions. on the other hand, lower resolutions are also preferred in some cases, e. g., for displaying images in a very small screen or interface. accordingly, algorithms for image upsampling or downsampling have also been proposed. in the above algorithms, the downsampled or upsampled (super-resolution) versions of the original image are often taken as test images to evaluate the performance of the algorithms. however, there is one important question left unanswered: whether the downsampled or upsampled versions of the original image can represent the low-resolution or high-resolution real images from a camera? to tackle this point, the following works are carried out: 1) a multiresolution camera is designed to simultaneously capture images in three different resolutions; 2) at a given resolution (i.e., image size), the relationship between a pair of images is studied, one gained via either downsampling or super-resolution, and the other is directly captured at this given resolution by an imaging device; and 3) the performance of the algorithms of super-resolution and image downsampling is evaluated by using the given image pairs. the key reason why we can effectively tackle the aforementioned issues is that the designed multiresolution imaging camera can provide us with real images of different resolutions, which builds a solid foundation for evaluating various algorithms and analyzing the images with different resolutions, which is very important for vision. |
| WOS标题词 | science & technology ; technology |
| 类目[WOS] | computer science, artificial intelligence ; computer science, cybernetics |
| 研究领域[WOS] | computer science |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000328948900012 |
| 公开日期 | 2015-03-18 |
| 源URL | [http://ir.opt.ac.cn/handle/181661/22357]  |
| 专题 | 西安光学精密机械研究所_光学影像学习与分析中心 |
| 作者单位 | Chinese Acad Sci, Ctr OPT IMagery Anal & Learning OPTIMAL, State Key Lab Transient Opt & Photon, Xian Inst Opt & Precis Mech, Xian 710119, Peoples R China |
| 推荐引用方式 GB/T 7714 | Lu, Xiaoqiang,Li, Xuelong. Multiresolution Imaging[J]. ieee transactions on cybernetics,2014,44(1):149-160. |
| APA | Lu, Xiaoqiang,&Li, Xuelong.(2014).Multiresolution Imaging.ieee transactions on cybernetics,44(1),149-160. |
| MLA | Lu, Xiaoqiang,et al."Multiresolution Imaging".ieee transactions on cybernetics 44.1(2014):149-160. |
入库方式： OAI收割
来源：西安光学精密机械研究所
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