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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Baikun Wan Hongmei Zeng Weibo Yi Lan Ma Rui Xu Xiang Zheng Yanru Bai Hongzhi Qi Dong Ming Weijie Wang |
| Copyright Year | 2010 |
| Description | Author affiliation: Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, 300072, China (Baikun Wan; Hongmei Zeng; Weibo Yi; Lan Ma; Rui Xu; Xiang Zheng; Yanru Bai; Hongzhi Qi; Dong Ming) || Institute of Motion Analysis and Research, Ninewells Hospital and Medical School, The University of Dundee, DD1 9SY, UK (Weijie Wang) |
| Abstract | Super resolution reconstruction is an important branch of image processing that extracting high resolution images containing more details from an image sequence of low resolution, by image processing such as motion estimation, de-blurring and de-noising. Currently super resolution is an economical and practical algorithm that can be used to improve image resolution in remote monitoring, remote sensing and medical imaging. In this thesis, in order to obtain high resolution image from an image sequence of low resolution and improve the image quality, visual effects, total variation algorithm is used to estimate the motion of low resolution images caused by the restriction of environmental conditions and the physical limitations of imaging equipment. This algorithm contains a lot of processing technologies, such as, motion estimate, motion compensation, image fusion, de-nosing. Experiment result shows that the entropy of the high resolution image was improved and the D and D are improved with the increasing of frames, so clearly high resolution image can be obtained from source image by using this algorithm. The super resolution algorithm mentioned in the thesis with high practical application value, can be applied to long-range remote sensing and face image restoration. |
| Starting Page | 1194 |
| Ending Page | 1199 |
| File Size | 2002995 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424493197 |
| e-ISBN | 9781424493180 |
| DOI | 10.1109/ROBIO.2010.5723498 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-12-14 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image resolution Motion estimation Image restoration Image sequences Equations Mathematical model Pixel |
| Content Type | Text |
| Resource Type | Article |
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