Deep Fusion Prior for Multi-Focus Image Super Resolution Fusion. (arXiv:2110.05706v3 [cs.CV] UPDATED)

This paper unifies the multi-focus images fusion (MFIF) and blind super
resolution (SR) problems as the multi-focus image super resolution fusion
(MFISRF) task, and proposes a novel unified dataset-free unsupervised framework
named deep fusion prior (DFP) to address such MFISRF task. DFP consists of
SKIPnet network, DoubleReblur focus measurement tactic, decision embedding
module and loss functions. In particular, DFP can obtain MFISRF only from two
low-resolution inputs without any extent dataset; SKIPnet implementing
unsupervised learning via deep image prior is …

arxiv cv fusion image prior super resolution