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This 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...
Blind super-resolution, which incorporates blur identification into super-resolution, has been proposed to restore the degraded image with either partially known or totally unknown blur. In the conventional framework for blind super-resolution, the sensor PSF caused by camera lens/CCD has always been ignored. Therefore, the identified blur and restored HR image are affected by the sensor PSF, especially...
In this paper a novel independent component analysis (ICA) based face super-resolution algorithm is proposed. In this scheme, the independent components (ICs) are obtained by offline training high-resolution face images. Given a low-resolution image, the high-resolution image is reconstructed by the linear combination of the ICs where the weight coefficients are obtained by the method of maximum a...
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