A Self-Supervised Deep Model for Focal Stacking

Weizhi Du, Qichen Fu, Zhengyu Huang

Abstract: We propose to train a self-supervised autoencoder to extract image features and fuse focal stack images. Numerical experiments show the proposed method achieves better fusion performance, compared to the traditional fusion method using the Laplacian operator.