One-Shot Image Restoration

arXiv:2404.17426v1 Announce Type: cross
Abstract: Image restoration, or inverse problems in image processing, has long been an extensively studied topic. In recent years supervised learning approaches have become a popular strategy attempting to tackle this task. Unfortunately, most supervised learning-based methods are highly demanding in terms of computational resources and training data (sample complexity). In addition, trained models are sensitive to domain changes, such as varying acquisition systems, signal sampling rates, resolution and contrast. In this work, we try to …

abstract arxiv become complexity computational cs.cv cs.lg data eess.iv image image processing image restoration popular processing resources restoration sample strategy supervised learning terms training training data type