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Hokkaido University Collection of Scholarly and Academic Papers >
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Peer-reviewed Journal Articles, etc >
Super-resolution for simultaneous realization of resolution enhancement and motion blur removal based on adaptive prior settings
This item is licensed under:Creative Commons Attribution-NonCommercial-ShareAlike 2.1 Japan
| Title: | Super-resolution for simultaneous realization of resolution enhancement and motion blur removal based on adaptive prior settings |
| Authors: | Ogawa, Takahiro Browse this author →KAKEN DB | | Izumi, Daisuke Browse this author | | Yoshizaki, Akane Browse this author | | Haseyama, Miki Browse this author →KAKEN DB |
| Issue Date: | 22-Feb-2013 |
| Publisher: | Springer |
| Journal Title: | EURASIP Journal on Advances in Signal Processing |
| Volume: | 2013 |
| Issue: | 1 |
| Start Page: | 30 |
| Publisher DOI: | 10.1186/1687-6180-2013-30 |
| Abstract: | A super-resolution method for simultaneously realizing resolution enhancement and motion blur removal based on adaptive prior settings are presented in this article. In order to obtain high-resolution (HR) video sequences from motion-blurred low-resolution video sequences, both of the resolution enhancement and the motion blur removal have to be performed. However, if one is performed after the other, errors in the first process may cause performance deterioration of the subsequent process. Therefore, in the proposed method, a new problem, which simultaneously performs the resolution enhancement and the motion blur removal, is derived. Specifically, a maximum a posterior estimation problem which estimates original HR frames with motion blur kernels is introduced into our method. Furthermore, in order to obtain the posterior probability based on Bayes’ rule, a prior probability of the original HR frame, whose distribution can adaptively be set for each area, is newly defined. By adaptively setting the distribution of the prior probability, preservation of the sharpness in edge regions and suppression of the ringing artifacts in smooth regions are realized. Consequently, based on these novel approaches, the proposed method can perform successful reconstruction of the HR frames. Experimental results show impressive improvements of the proposed method over previously reported methods. |
| Rights: | http://creativecommons.org/licenses/by-nc-sa/2.1/jp/ |
| Type: | article |
| URI: | http://hdl.handle.net/2115/52910 |
| Appears in Collections: | 情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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Submitter: 小川 貴弘
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