ADMM-CSNet: A Deep Learning Approach for Image Compressive Sensing.
IEEE Transactions on Pattern Analysis and Machine Intelligence(2020)
摘要
Compressive sensing (CS) is an effective technique for reconstructing image from a small amount of sampled data. It has been widely applied in medical imaging, remote sensing, image compression, etc. In this paper, we propose two versions of a novel deep learning architecture, dubbed as ADMM-CSNet, by combining the traditional model-based CS method and data-driven deep learning method for image re...
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关键词
Image reconstruction,Transforms,Imaging,Task analysis,Computer architecture,Data models
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