Gradient-based adaptive interpolation in super-resolution image restoration

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dc.creatorChu, Jinyu
dc.creatorLiu, Ju
dc.creatorQiao, Jianping
dc.creatorWang, Xiaoling
dc.creatorLi, Yujun
dc.date2009-03-24
dc.date.accessioned2026-07-07T12:56:01Z
dc.date.available2026-07-07T12:56:01Z
dc.descriptionThis paper presents a super-resolution method based on gradient-based adaptive interpolation. In this method, in addition to considering the distance between the interpolated pixel and the neighboring valid pixel, the interpolation coefficients take the local gradient of the original image into account. The smaller the local gradient of a pixel is, the more influence it should have on the interpolated pixel. And the interpolated high resolution image is finally deblurred by the application of wiener filter. Experimental results show that our proposed method not only substantially improves the subjective and objective quality of restored images, especially enhances edges, but also is robust to the registration error and has low computational complexity.
dc.description4pages, 7figures, This paper presents a super-resolution method based on gradient-based adaptive interpolation
dc.identifierhttps://arxiv.org/abs/0903.3995
dc.identifierhttp://arxiv.org/abs/0903.3995
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/224447
dc.subjectMultimedia
dc.subjectComputer Vision and Pattern Recognition
dc.titleGradient-based adaptive interpolation in super-resolution image restoration
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