Blind image deblurring via hybrid deep priors modeling
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.01.004
Abstract: Abstract Blind image deblurring is a challenging low-level vision problem which aims to restore a sharp image only from the blurry observation. Few known information makes this problem fundamentally ill-posed. Most recent works focus on… read more here.
Keywords: hybrid deep; image; deep priors; latent image ... See more keywords
Tuning-Free Plug-and-Play Hyperspectral Image Deconvolution With Deep Priors
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3253549
Abstract: Deconvolution is a widely used strategy to mitigate the blurring and noisy degradation of hyperspectral images (HSIs) generated by the acquisition devices. This issue is usually addressed by solving an ill-posed inverse problem. While investigating… read more here.
Keywords: free plug; deep priors; deconvolution; plug play ... See more keywords
Hyperspectral Pansharpening With Deep Priors
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2019.2920857
Abstract: Hyperspectral (HS) image can describe subtle differences in the spectral signatures of materials, but it has low spatial resolution limited by the existing technical and budget constraints. In this paper, we propose a promising HS… read more here.
Keywords: resolution; deep priors; high frequency; pansharpening deep ... See more keywords