Image Super-Resolution Network Based on Feature Fusion Attention

Algorithm 1

Residual dense attention block.

Input: Input image, block number,kernel size

Output: Output feature image

1.

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3. For to do

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6. 

7. End for

8.

9. {residual scaling}

10. {Multi-Channel Channel attention layer}

11. {pixel attention layer}

12. {residual connection}