ISTA-Net: Iterative Shrinkage-Thresholding Algorithm Inspired Deep Network for Image Compressive Sensing

@article{Zhang2017ISTANetIS,
  title={ISTA-Net: Iterative Shrinkage-Thresholding Algorithm Inspired Deep Network for Image Compressive Sensing},
  author={Jian Zhang and Bernard Ghanem},
  journal={CoRR},
  year={2017},
  volume={abs/1706.07929}
}
Traditional methods for image compressive sensing (CS) reconstruction solve a welldefined inverse problem (convex optimization problems in many cases) that is based on a predefined CS model, which defines the underlying structure of the problem and is generally solved by employing convergent iterative solvers. These optimization-based CS methods face the challenge of choosing optimal transforms and tuning parameters in their solvers, while also suffering from high computational complexity in… CONTINUE READING

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