An Iterative Super Resolution Algorithm Based On Adaptive FIR Wiener Filtering
نویسنده
چکیده
Biopolis, Singapore, 14-17 December 2010. Abstract Aiming at image/video super resolution applications, this paper presents a spatially adaptive FIR wiener filter for super resolution reconstruction. Missing high resolution samples can be estimated as the weighted sum of nearby low resolution samples. In the proposed algorithm, the optimal weighting coefficients for each of nearby low resolution samples are determined with a distance-based correlation model of samples and iteratively refined according to the most updated estimates of the missing high resolution samples. Both objective and subjective measurements in our simulations show that the proposed algorithm can produce a better result as compared with some conventional algorithms across different noise conditions.
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تاریخ انتشار 2010