3 accepted papers
We propose a new deep plug-and-play (PnP) algorithm for constrained image restoration with guaranteed theoretical convergence. The PnP strategy, which incorporates off-the-shelf Gaussian denoisers into proximal splitting algorithms, has demonstrated outstanding performance in a variety of image rest…
This paper proposes a new regularization function specific to Spatiotemporal (ST) fusion, named temporally-guided total variation (TGTV). ST fusion is a promising approach to address a trade-off between the temporal and spatial resolution of satellite images. In general, satellite images are severel…
Spatiotemporal fusion (ST fusion) is a feasible solution to resolve a tradeoff between the temporal and spatial resolutions of satellite images. Although many ST fusion methods have been proposed, most methods have not been developed that explicitly take noise in observed images into account, despit…