Please use this identifier to cite or link to this item:
https://doi.org/10.1109/ICME.2012.29
DC Field | Value | |
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dc.title | Image super-resolution via low-pass filter based multi-scale image decomposition | |
dc.contributor.author | Zhu, S. | |
dc.contributor.author | Zeng, B. | |
dc.contributor.author | Yan, S. | |
dc.date.accessioned | 2014-06-19T03:13:08Z | |
dc.date.available | 2014-06-19T03:13:08Z | |
dc.date.issued | 2012 | |
dc.identifier.citation | Zhu, S.,Zeng, B.,Yan, S. (2012). Image super-resolution via low-pass filter based multi-scale image decomposition. Proceedings - IEEE International Conference on Multimedia and Expo : 1045-1050. ScholarBank@NUS Repository. <a href="https://doi.org/10.1109/ICME.2012.29" target="_blank">https://doi.org/10.1109/ICME.2012.29</a> | |
dc.identifier.issn | 19457871 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/70526 | |
dc.description.abstract | This paper presents a spatial-varying minimum mean square error (MMSE)-based approach to construct super-resolution images from single source image of a lower resolution. The unique feature of this approach is that it works on a set of sub-images (also called multi-scale images) that are generated via decomposing the original source image. To do the decomposition, we design a number of low-pass filters with overlapped pass-bands so that sub-images are correlated with each other. Then, an MMSE-based estimation, involving all sub-images, is solved (after making use of the geometric-duality principle) to construct each missing pixel in the super-resolution image. Experimental results show that our new method offers a clearly-noticeable improvement over the existing MMSE-based methods (without decomposition). We believe that this is mainly attributing to the fact that both intra-scale and inter-scale correlations among the sub-images have been utilized in our approach. © 2012 IEEE. | |
dc.description.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/ICME.2012.29 | |
dc.source | Scopus | |
dc.subject | image decomposition | |
dc.subject | Image super-resolution | |
dc.subject | low-pass filters | |
dc.subject | MMSE estimation | |
dc.type | Conference Paper | |
dc.contributor.department | ELECTRICAL & COMPUTER ENGINEERING | |
dc.description.doi | 10.1109/ICME.2012.29 | |
dc.description.sourcetitle | Proceedings - IEEE International Conference on Multimedia and Expo | |
dc.description.page | 1045-1050 | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Staff Publications |
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