Web Image-based Super-resolution

Title
Web Image-based Super-resolution
Authors
이종호안상철임화섭김익재김재완김형곤
Keywords
Super-resolution
Issue Date
2012-11
Publisher
International Conference on Pattern Recognition
Citation
, 1060-1063
Abstract
Super-resolution using web images is a challenging problem because accurate motion estimation is difficult due to their viewpoint change and photometric variation. To overcome such difficulties, this paper formulates a unified framework where local color correction is incorporated into fuzzy motion estimation after global registration. Thus, both geometric and photometric variations are simultaneously taken into account for implicit motion estimation. As demonstrated in the results using web images under various conditions, the proposed approach magnifies user-selected region of interest with visually appealing details.
URI
http://pubs.kist.re.kr/handle/201004/43714
Appears in Collections:
KIST Publication > Conference Paper
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