  We develop a deep convolutional neural networks(CNNs) to deal with the blurry
artifacts caused by the defocus of the camera using dual-pixel images.
Specifically, we develop a double attention network which consists of
attentional encoders, triple locals and global local modules to effectively
extract useful information from each image in the dual-pixels and select the
useful information from each image and synthesize the final output image. We
demonstrate the effectiveness of the proposed deblurring algorithm in terms of
both qualitative and quantitative aspects by evaluating on the test set in the
NTIRE 2021 Defocus Deblurring using Dual-pixel Images Challenge. The code, and
trained models are available at https://github.com/tuvovan/ATTSF.
