Video super-resolution with registration-reliability regulation and adaptive total variation
文献类型：期刊论文
| 作者 | Zhang, Xinfeng2; Xiong, Ruiqin3; Ma, Siwei3; Li, Ge1; Gao, Wen3 |
| 刊名 | JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
 |
| 出版日期 | 2015-07-01 |
| 卷号 | 30页码:181-190 |
| 关键词 | Super-resolution Registration reliability Regularization Total variation Nonlocal similarity Structure tensor Interpolation Optical flow |
| ISSN号 | 1047-3203 |
| DOI | 10.1016/j.jvcir.2015.04.002 |
| 英文摘要 | In super-resolution that constructs a high-resolution (HR) image from a set of low-resolution (LR) reference images, it is crucial to align the LR reference images in order to efficiently exploit the pixels therein. However, due to the existence of complex local motion, ideal registration is difficult to acquire. In this paper, we present a robust video super-resolution scheme with registration-reliability regulation and content adaptive total variation regularization, which make the scheme resilient to registration failures. In order to handle ill-registered pixels, we propose a registration-reliability regulated data-fidelity term, which assigns smaller weights to the pixels with larger locally-averaged registration residuals. In addition, a content adaptive total variation based on structure tensor, which is used to estimate image local structures, is proposed to regularize the super-resolved images. The structure tensor is derived not only from the gradients of local patches but also the nonlocal similar patches. Experimental results show that the proposed scheme can remarkably improve both the objective and subjective quality of the video super-resolution results. (C) 2015 Elsevier Inc. All rights reserved. |
| 资助项目 | National Science Foundation of China[61322106] ; National Science Foundation of China[61370114] ; National Basic Research Program of China (973 Program)[2015CB351800] |
| WOS研究方向 | Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000357761900016 |
| 出版者 | ACADEMIC PRESS INC ELSEVIER SCIENCE |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/9552]  |
| 专题 | 中国科学院计算技术研究所期刊论文_英文 |
| 通讯作者 | Xiong, Ruiqin |
| 作者单位 | 1.Peking Univ, Shenzhen Grad Sch, Sch Elect & Comp Engn, Shenzhen 518005, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China 3.Peking Univ, Inst Digital Media, Beijing 100871, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Xinfeng,Xiong, Ruiqin,Ma, Siwei,et al. Video super-resolution with registration-reliability regulation and adaptive total variation[J]. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION,2015,30:181-190. |
| APA | Zhang, Xinfeng,Xiong, Ruiqin,Ma, Siwei,Li, Ge,&Gao, Wen.(2015).Video super-resolution with registration-reliability regulation and adaptive total variation.JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION,30,181-190. |
| MLA | Zhang, Xinfeng,et al."Video super-resolution with registration-reliability regulation and adaptive total variation".JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION 30(2015):181-190. |
入库方式： OAI收割
来源：计算技术研究所
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