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- W1968182059 abstract "Image super-resolution is generally regarded as consisting of three steps - image registration, fusion, and deblurring. This paper presents a novel technique for resampling a non-uniformly sampled image onto a uniform grid that can be used for fusion of translated input images. The proposed method can be very fast, as it can be implemented as a finite impulse response filter of low order (10th order results in good performance). The technique is based on optimising the resampling filter coefficients using a simple image model in a least squares fashion. The method is tested experimentally on a range of images and shown to have similar results to that of a least-squares optimal filter. Further experimental comparisons are made against a number of methods commonly used in image super-resolution that show that the proposed method is superior to these." @default.
- W1968182059 created "2016-06-24" @default.
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- W1968182059 date "2010-01-01" @default.
- W1968182059 modified "2023-09-23" @default.
- W1968182059 title "Least-squares Optimal Interpolation for Fast Image Super-resolution" @default.
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- W1968182059 doi "https://doi.org/10.1109/delta.2010.59" @default.
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