Deep Learning, Artificial Intelligence, Convolutional Network, Blur Detection, Defocus Map Estimation.
to extract low-level features. FENet is constructed with the first two convolutional blocks (CB_1 and CB_2) of VGG16. In DBE-CENet, each branch consists of last three fully convolutional blocks of CB_3, CB_4 and CB_5 (or CB’_3, CB’_4 and CB’_5) of VGG16. Then it is followed by a convolution layer