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Fig. 2 | EURASIP Journal on Image and Video Processing

Fig. 2

From: Anchored neighborhood deep network for single-image super-resolution

Fig. 2

Illustration 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 matrix

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