A Local Texture-Constrained Super-Resolution Method | |
Qingjie Liu; Yunhong Wang; Zhaoxiang Zhang | |
2012-12-04 | |
会议名称 | Pacific-Rim Conference on Multimedia |
会议录名称 | PCM 2012 |
会议日期 | 4-6 December 2012 |
会议地点 | Singapore, Singapore |
摘要 | This paper proposes a local texture constrained super-resolution method for the reconstruction of high-resolution image. Through the learned low/high-resolution patches from training images, the intended high resolution patches are reconstructed using neighbor embedding method. The major contributions of this paper are: 1) Local Binary Pattern (LBP) is adopted to classify the patches into different categories, only those patches who have the same pattern with the input patches are used as candidates; 2) Structural SIMilarity (SSIM) metric which can find the patches with texture most similar to the input is used to search the k most suitable patches in the corresponding category. Experiments show that LBP index can provide proper candidate patches and SSIM metric is better than other metric in finding the most texture similarity patches. |
关键词 | Image Super-resolution Lbp Neighbor Embedding Ssim |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/13256 |
专题 | 智能感知与计算研究中心 |
通讯作者 | Zhaoxiang Zhang |
推荐引用方式 GB/T 7714 | Qingjie Liu,Yunhong Wang,Zhaoxiang Zhang. A Local Texture-Constrained Super-Resolution Method[C],2012. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论