Abstract
In this paper, we propose a high-resolution image reconstruction algorithm to reduce the distortion in the reconstructed high-resolution image due to the inaccuracy of motion estimation. For this purpose, we analyze the noise caused by the inaccurate motion information. Based on this analysis, we propose a new regularization functional. The proposed algorithm requires no prior information about the original image or the inaccurate motion information. Experimental results indicate that the proposed algorithm outperforms conventional approaches with respect to both objective and subjective criteria.
| Original language | English |
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| Title of host publication | 2006 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings |
| Pages | II605-II608 |
| Publication status | Published - 2006 Dec 1 |
| Event | 2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006 - Toulouse, France Duration: 2006 May 14 → 2006 May 19 |
Publication series
| Name | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
|---|---|
| Volume | 2 |
| ISSN (Print) | 1520-6149 |
Other
| Other | 2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006 |
|---|---|
| Country | France |
| City | Toulouse |
| Period | 06/5/14 → 06/5/19 |
All Science Journal Classification (ASJC) codes
- Software
- Signal Processing
- Electrical and Electronic Engineering
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Cite this
Park, M. K., & Kang, M. G. (2006). High-resolution image reconstruction considering inaccurate motion information. In 2006 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings (pp. II605-II608). [1660415] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 2).