Skip to main content

Advertisement

Fig. 3 | EURASIP Journal on Image and Video Processing

Fig. 3

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

Fig. 3

Illustration of the proposed anchored neighborhood deep network structure for single image SR. It uses a convolution layer to extract low frequency feature and then uses an anchored neighborhood convolution layer to predict the high frequency details. After combining these high frequency patches, we cascade multiple convolution layers to fuse the local similarity patches and refine the image details

Back to article page