A Multi-scale Generalized Shrinkage Threshold Network for Image Blind Deblurring in Remote Sensing

arXiv:2309.07524v2 Announce Type: replace
Abstract: Remote sensing images are essential for many applications of the earth's sciences, but their quality can usually be degraded due to limitations in sensor technology and complex imaging environments. To address this, various remote sensing image deblurring methods have been developed to restore sharp and high-quality images from degraded observational data. However, most traditional model-based deblurring methods usually require predefined {hand-crafted} prior assumptions, which are difficult to handle in complex applications. On the other hand, …

abstract applications arxiv blind cs.cv cs.it earth eess.iv environments generalized image images imaging limitations math.it network quality scale sensing sensor shrinkage technology threshold type