@inproceedings {371,
	title = {Adaptive large scale artifact reduction in edge-based image super-resolution},
	booktitle = {9th IASTED International Conference on Signal and Image Processing},
	year = {2007},
	publisher = {ACTA Press},
	organization = {ACTA Press},
	address = {Anaheim, CA, USA},
	abstract = {<p>The goal of multi-frame image super-resolution is to use information from low-resolution images to construct highresolution images. Existing construction techniques are highly sensitive to prominent large scale artifacts in the low-resolution images. This paper presents a novel, adaptive approach to large scale artifact reduction in multiframe image super-resolution. The proposed method adaptively selects information from the low-resolution images such that prominent large scale artifacts are rejected during the construction of high-resolution images. An efficient super-resolution algorithm that utilizes the proposed technique with an edge-adaptive constraint relaxation is introduced. Experimental results demonstrate that the proposed algorithm improves the visual quality of the constructed high-resolution images when prominent large scale artifacts exist.</p>
},
	keywords = {artifact reduction, edge-adaptive, image super-resolution},
	isbn = {978-0-88986-676-8},
	url = {http://portal.acm.org/citation.cfm?id=1659892.1659937},
	author = {A Wong and W Bishop}
}
