Please use this identifier to cite or link to this item:
https://doi.org/10.1109/TENCON.2008.4766571
DC Field | Value | |
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dc.title | Restoration of half-toned color-quantized images using particle swarm optimization with wavelet mutation | |
dc.contributor.author | Yeung, C.W. | |
dc.contributor.author | Ling, S.H. | |
dc.contributor.author | Chan, Y.H. | |
dc.contributor.author | Leung, F.H.F. | |
dc.date.accessioned | 2014-06-19T03:25:59Z | |
dc.date.available | 2014-06-19T03:25:59Z | |
dc.date.issued | 2008 | |
dc.identifier.citation | Yeung, C.W.,Ling, S.H.,Chan, Y.H.,Leung, F.H.F. (2008). Restoration of half-toned color-quantized images using particle swarm optimization with wavelet mutation. IEEE Region 10 Annual International Conference, Proceedings/TENCON : -. ScholarBank@NUS Repository. <a href="https://doi.org/10.1109/TENCON.2008.4766571" target="_blank">https://doi.org/10.1109/TENCON.2008.4766571</a> | |
dc.identifier.isbn | 1424424089 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/71635 | |
dc.description.abstract | Restoration of color-quantized images is rarely addressed in the literature, especially when the images are color-quantized with halftoning. Most existing restoration algorithms are generally inadequate to deal with this problem as they were proposed for restoring noisy blurred images. In this paper, a restoration algorithm based on Particle Swarm Optimization with wavelet mutation (WPSO) is proposed to solve the problem. This algorithm makes a good use of the available color palette and the mechanism of a halftoning process to derive useful a priori information for restoration. Simulation results show that it can improve the quality of a half-toned color-quantized image remarkably in terms of both SNRI and convergence rate. The subjective quality of the restored images can also be improved. | |
dc.description.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/TENCON.2008.4766571 | |
dc.source | Scopus | |
dc.type | Conference Paper | |
dc.contributor.department | ELECTRICAL & COMPUTER ENGINEERING | |
dc.description.doi | 10.1109/TENCON.2008.4766571 | |
dc.description.sourcetitle | IEEE Region 10 Annual International Conference, Proceedings/TENCON | |
dc.description.page | - | |
dc.description.coden | 85QXA | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Staff Publications |
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