Scale-recurrent Network for Deep Image Deblurring

Understand

In single image deblurring, the "coarse-to-fine" scheme, i.e.

• gradually restoring the sharp image on different resolutions in a pyramid, is very successful in both traditional optimization-based methods and recent neural-network-based approaches.
• In this paper, we investigate this strategy and propose a Scale-recurrent Network (SRN-DeblurNet) for this deblurring task.
• Compared with the many recent learning-based approaches in [25], it has a simpler network structure, a smaller number of parameters and is easier to train.