"The core idea behind RAISR is to enhance the quality of a very cheap (e.g. bilinear) interpolation method by
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applying a set of pre-learned filters on the image patches, chosen by an efficient hashing mechanism. Note that the
filters are learned based on pairs of LR and HR training image patches, and the hashing is done by estimating the
local gradients’ statistics. As a final step, in order to avoid artifacts, the initial upscaled image and its filtered version
are locally blended by applying a weighted average, where the weights are a function of a structure descriptor. We
harness the Census Transform (CT) [20] for the blending task, as it is extremely fast and cheap descriptor of the
image structure which can be utilized to detect structure deformations that occur due to the filtering step."
из этого в переводе получилось "На следующей иллюстрации указаны четыре глобальных фильтра, применение которых допускалось на этапе обучения. Соответственно, программы обучалась применять их наиболее эффективно, в зависимости от содержания этого конкретного фрагмента из нескольких пикселей."