ROI-CSNet: Compressive sensing network for ROI-aware image recovery

作者：

Highlights：

• This paper proposes an ROI-aware compressive sensing network.

• This is the first work to recover ROI-aware image by convolutional neural network.

• The proposed network achieves real-time recovery with high quality performance in ROIs of images.

• We design an ROI-aware loss function which guides the network to focus more on ROIs.

摘要

•This paper proposes an ROI-aware compressive sensing network.•This is the first work to recover ROI-aware image by convolutional neural network.•The proposed network achieves real-time recovery with high quality performance in ROIs of images.•We design an ROI-aware loss function which guides the network to focus more on ROIs.

论文关键词：Compressive sensing (CS),Region of interest (ROI),Convolutional neural network (CNN)

论文评审过程：Received 18 January 2019, Revised 31 May 2019, Accepted 13 June 2019, Available online 14 June 2019, Version of Record 27 June 2019.

论文官网地址：https://doi.org/10.1016/j.image.2019.06.006