Fig. 2From: Anchored neighborhood deep network for single-image super-resolutionIllustration of the anchored neighborhood convolution layer. Each input low-frequency feature vector will be anchored to one dictionary atom that will activate the corresponding convolution layer. Then, the activated convolution layer maps the low-frequency feature vector to the high-resolution space. The green double-headed arrow means each convolution layer is associated with one dictionary atom and a projection matrixBack to article page