Learning to synthesize dense focal stack and all-in-focus image from sparse focal stack

We propose a method of synthesizing a dense focal stack and an all-in-focus image from a sparse focal stack that consists of only a few differently-focused images. Our algorithm is implemented using a convolutional neural network (CNN), which is trained to produce a denser focal stack by interpolating the input focal stack, and an all-in-focus image by fusing the dense focal stack. Experimental results show that our method can achieve better image quality than the baseline methods..