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The training codes, the training data, and some pre-trained models for my TIP paper "Image Compressed Sensing using Convolutional Neural Network".

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TIP-CSNet

The test code for my TIP paper "Image Compressed Sensing using Convolutional Neural Network" will be released here. Please look forward to it.

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The training codes, the training data, and some pre-trained models are given. Please feel free to contact me if you have any questions. My email is wzhshi@hit.edu.cn

To run the code, you should copy the file "bcs_init_rec_dag.m" in the folder "myLayers" into the folder "+dagnn" of your Matconvnet.

If the code is useful to you, please cite our papers:

@Article{shi2019image,

title={Image compressed sensing using convolutional neural network},

author={Shi, Wuzhen and Jiang, Feng and Liu, shaohui and Zhao, Debin},

journal={IEEE Transactions on Image Processing},

volume = {29},

pages = {375--388},

year={2020}

}

@inproceedings{shi2017deep,

title={Deep networks for compressed image sensing},

author={Shi, Wuzhen and Jiang, Feng and Zhang, Shengping and Zhao, Debin},

booktitle={Multimedia and Expo (ICME), 2017 IEEE International Conference on},

pages={877--882},

year={2017},

organization={IEEE}

}

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The training codes, the training data, and some pre-trained models for my TIP paper "Image Compressed Sensing using Convolutional Neural Network".

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