Abstract：To expand the perception field with the filter parameters unchanged, dilated convolution is introduced into very deep convolutional networks super-resolution model. Firstly, the perception field of the dilated convolution block with different expansion coefficients is analyzed and a better combination structure is selected as the dilated convolution block. Then, the deep convolution network is constructed by stacking convolution blocks and adding residual connection. Experiment shows that the reconstruction effect can be improved by the constructed network for the larger scaling factors of Set5 dataset. Besides, there are obvious visual advantages.
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2019, Vol. 32 
