Figure 4. The overview architecture of the proposed method. Given an LR image y, we first estimate the degradation kernel kˆ , and involve
it in the deep constrained least squares (DCLS) convolution in the feature domain. The deblurred features R(cid:98) are then concatenated with
primitive features G y to restore the clean HR image x through a dual-path attention network (DPAN).