*Paper Title: A Survey on Image Compressive Sensing: From Classical Theory to The Latest Explicable Deep Learning.
*Authors: Zhao, Lijun and Zhang, Yufeng and Wang, Xinlu and Zhang, Jinjing and Bai, Huihui and Wang, Anhong.
*A list of image CS reconstruction approaches and the summary of some available codes or projects. This list is maintained by: [Lijun Zhao].
If your paper about [Deep Learning-based CS] is not listed among them, please contact us ([email protected]).
| Acronym | I | E | T | S |
|---|---|---|---|---|
| Type | Inexplicable CS Reconstruction | Explainable/Model-Inspired CS Reconstruction | Transformer Based CS Reconstruction | Survey Paper |
| Time | Title | Author | Journal/Conference | Type | Code |
|---|---|---|---|---|---|
| 2024-12-03 | Non-local prior dense feature distillation network for image compressive sensing | Feng, Mingkun and Han, Xiaole and Zheng, Kai | Information | I | GitHub |
| 2024-12-01 | Scalable compressive sampling network with progressive hierarchical subspace learning | Yin, Zhu and Wu, Zhongcheng and Shi, Wuzhen | Pattern Recognition | I | Not Available |
| 2024-11-22 | Practical compact deep compressed sensing | Chen, Bin and Zhang, Jian | IEEE Transactions on Pattern Analysis and Machine Intelligence | E | GitHub |
| 2024-10-14 | Discard significant bits of compressed sensing: A robust image coding for resource-limited contexts | Chen, Zan and Wang, Tao and Li, Jun and Guo, Wenlong and Feng, Yuanjing and Qian, Xueming and Hou, Xingsong | ACM Transactions on Multimedia Computing, Communications and Applications | E | Not Available |
| 2024-09-01 | Transformer based douglas-rachford unrolling network for compressed sensing | Su, Yueming and Lian, Qiusheng and Zhang, Dan and Shi, Baoshun | Signal Processing: Image Communication | T+E | GitHub |
| 2024-09-01 | MTC-CSNet: Marrying transformer and convolution for image compressed sensing | Shen, Minghe and Gan, Hongping and Ma, Chunyan and Ning, Chao and Li, Hongqi and Liu, Feng | IEEE Transactions on Cybernetics | I+T | GitHub |
| 2024-08-13 | Self-supervised scalable deep compressed sensing | Chen, Bin and Zhang, Xuanyu and Liu, Shuai and Zhang, Yongbing and Zhang, Jian | International Journal of Computer Vision | E | GitHub |
| 2024-06-26 | DMFNet: Deep matrix factorization network for image compressed sensing | Wang, Hengyou and Li, Haocheng and Jiang, Xiang | Multimedia Systems | E | Not Available |
| 2024-06-07 | Image compressed sensing: From deep learning to adaptive learning | Xie, Zhonghua and Liu, Lingjun and Chen, Zehong | Knowledge-Based Systems | S | Not Available |
| 2024-05-16 | Deep network for image compressed sensing coding using local structural sampling | Cui, Wenxue and Wang, Xingtao and Fan, Xiaopeng and Liu, Shaohui and Gao, Xinwei and Zhao, Debin | ACM Transactions on Multimedia Computing, Communications and Applications | I | Not Available |
| 2024-05-08 | A wavelet-domain consistency-constrained compressive sensing framework based on memory-boosted guidance filtering | Wang, Xinlu and Zhao, Lijun and Zhang, Jinjing and Wang, Anhong and Bai, Huihui | IEEE Transactions on Instrumentation and Measurement | E | GitHub |
| 2024-05-06 | D3C2-Net: Dual-domain deep convolutional coding network for compressive sensing | Li, Weiqi and Chen, Bin and Liu, Shuai and Zhao, Shijie and Du, Bowen and Zhang, Yongbing and Zhang, Jian | IEEE Transactions on Circuits and Systems for Video Technology | E | GitHub |
| 2024-03-06 | GSISTA-Net: Generalized structure ISTA networks for image compressed sensing based on optimized unrolling algorithm | Zeng, Chunyan and Yu, Yan and Wang, Zhifeng and Xia, Shiyan and Cui, Hao and Wan, Xiangkui | Multimedia Tools and Applications | E | Not Available |
| 2024-03-25 | Invertible diffusion models for compressed sensing | Chen, Bin and Zhang, Zhenyu and Li, Weiqi and Zhao, Chen and Yu, Jiwen and Zhao, Shijie and Chen, Jie and Zhang, Jian | arXiv preprint | I | GitHub |
| 2024-03-25 | Block image compressive sensing with local and global information interaction | Kong, Xiaoyu and Chen, Yongyong and Zheng, Feng and He, Zhenyu | Proceedings of the AAAI Conference on Artificial Intelligence | I+T | GitHub |
| 2024-03-08 | Nestd-net: Deep NESTA-inspired unfolding network with dual-path deblocking structure for image compressive sensing | Gan, Hongping and Guo, Zhen and Liu, Feng | IEEE Transactions on Image Processing | E | GitHub |
| 2024-01-26 | Compressive sensing in image/video compression: Sampling, coding, reconstruction, and codec optimization | Zhou, Jinjia and Yang, Jian | Information | S | Not Available |
| 2024-01-19 | MB-RACS: Measurement-bounds-based rate-adaptive image compressed sensing network | Huang, Yujun and Chen, Bin and Li, Naiqi and An, Baoyi and Xia, Shu-Tao and Wang, Yaowei | arXiv preprint arXiv:2402.16855 | E | Not Available |
| 2024-01-16 | Gates-controlled deep unfolding network for image compressed sensing | Li, Tiancheng and Yan, Qiurong and Zou, Quan and Dai, Qianling | IEEE Transactions on Computational Imaging | E | GitHub |
| Time | Title | Author | Journal/Conference | Type | Code |
|---|---|---|---|---|---|
| 2023-12-26 | WDU-Net: Wavelet-guided deep unfolding network for image compressed sensing reconstruction | Wang, Xinlu and Zhao, Lijun and Zhang, Jinjing and Zhang, Yufeng and Wang, Anhong | Chinese Conference on Pattern Recognition and Computer Vision (PRCV) | E | GitHub |
| 2023-11-20 | Uformer-ICS: A U-shaped transformer for image compressive sensing service | Zhang, Kuiyuan and Hua, Zhongyun and Li, Yuanman and Zhang, Yushu and Zhou, Yicong | IEEE Transactions on Services Computing | T | GitHub |
| 2023-11-04 | Optimization-inspired cumulative transmission network for image compressive sensing | Zhang, Tianfang and Li, Lei and Peng, Zhenming | Knowledge-Based Systems | E | GitHub |
| 2023-10-17 | Learned two-step iterative shrinkage thresholding algorithm for deep compressive sensing | Gan, Hongping and Wang, Xiaoyang and He, Lijun and Liu, Jie | IEEE Transactions on Circuits and Systems for Video Technology | E | GitHub |
| 2023-09-05 | Boundary-constrained interpretable image reconstruction network for deep compressive sensing | Zhao, Lijun and Wang, Xinlu and Zhang, Jinjing and Wang, Anhong and Bai, Huihui | Knowledge-Based Systems | E | Not Available |
| 2023-08-22 | Optimization-inspired cross-attention transformer for compressive sensing | Song, Jiechong and Mou, Chong and Wang, Shiqi and Ma, Siwei and Zhang, Jian | Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition | E+T | GitHub |
| 2023-08-14 | SODAS-Net: Side-information-aided deep adaptive shrinkage network for compressive sensing | Song, Jiechong and Zhang, Jian | IEEE Transactions on Instrumentation and Measurement | E | GitHub |
| 2023-08-02 | Rate-adaptive neural network for image compressive sensing | Chen, Hui and Zhang, Shengping and Cui, Wenxue and Liu, Shaohui and Jiang, Feng and Zhao, Debin | IEEE Transactions on Multimedia | I | Not Available |
| 2023-07-04 | Deep physics-guided unrolling generalization for compressed sensing | Chen, Bin and Song, Jiechong and Xie, Jingfen and Zhang, Jian | International Journal of Computer Vision | E | GitHub |
| 2023-05-22 | Sparsity and coefficient permutation based two-domain AMP for image block compressed sensing | Li, Junhui and Hou, Xingsong and Wang, Huake and Bi, Shuhao | arXiv preprint | E | Not Available |
| 2023-05-15 | CSformer: Bridging convolution and transformer for compressive sensing | Ye, Dongjie and Ni, Zhangkai and Wang, Hanli and Zhang, Jian and Wang, Shiqi and Kwong, Sam | IEEE Transactions on Image Processing | I+T | GitHub |
| 2023-05-15 | Versatile denoising-based approximate message passing for compressive sensing | Wang, Huake and Li, Ziang and Hou, Xingsong | IEEE Transactions on Image Processing | E | Not Available |
| 2023-04-10 | From patch to pixel: A transformer-based hierarchical framework for compressive image sensing | Gan, Hongping and Shen, Minghe and Hua, Yi and Ma, Chunyan and Zhang, Tao | IEEE Transactions on Computational Imaging | T | GitHub |
| 2023-04-10 | Dynamic path-controllable deep unfolding network for compressive sensing | Song, Jiechong and Chen, Bin and Zhang, Jian | IEEE Transactions on Image Processing | E | GitHub |
| 2024-04-01 | Improved image compressive sensing recovery with low-rank prior and deep image prior | Wu, Yumo and Sun, Jianing and Chen, Wengu and Yin, Junping | Signal Processing | E | Not Available |
| 2023-02-02 | Image compressed sensing reconstruction via deep image prior with structure-texture decomposition | Zhong, Yuanhong and Zhang, Chenxu and Li, Jin | IEEE Signal Processing Letters | I | Not Available |
| 2023-01-30 | Hierarchical perception adversarial learning framework for compressed sensing MRI | Gao, Zhifan and Guo, Yifeng and Zhang, Jiajing and Zeng, Tieyong and Yang, Guang | IEEE Transactions on Medical Imaging | I | Not Available |
| 2023-01-02 | Physics-inspired compressive sensing: Beyond deep unrolling | Zhang, Jian and Chen, Bin and Xiong, Ruiqin and Zhang, Yongbing | IEEE Signal Processing Magazine | E | Not Available |
| 2023-01-01 | LG-Net: Local and global complementary priors induced multi-stage progressive network for compressed sensing | Lian, Qiusheng and Su, Yueming and Shi, Baoshun and Zhang, Dan | Signal Processing | I | Not Available |
| Time | Title | Author | Journal/Conference | Type | Code |
|---|---|---|---|---|---|
| 2022-12-09 | LR-CSNet: low-rank deep unfolding network for image compressive sensing | Zhang, Tianfang and Li, Lei and Igel, Christian and Oehmcke, Stefan and Gieseke, Fabian and Peng, Zhenming | 2022 IEEE 8th International Conference on Computer and Communications (ICCC) | E | GitHub |
| 2022-11-01 | FSOINET: Feature-space optimization-inspired network for image compressive sensing | Chen, Wenjun and Yang, Chunling and Yang, Xin | ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) | E | GitHub |
| 2022-10-10 | Fast hierarchical deep unfolding network for image compressed sensing | Cui, Wenxue and Liu, Shaohui and Zhao, Debin | Proceedings of the 30th ACM International Conference on Multimedia | E | Not Available |
| 2022-09-27 | Global sensing and measurements reuse for image compressed sensing | Fan, Zi-En and Lian, Feng and Quan, Jia-Ni | Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition | I | GitHub |
| 2022-09-27 | Deep generalized unfolding networks for image restoration | Mou, Chong and Wang, Qian and Zhang, Jian | Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition | E | GitHub |
| 2022-09-07 | Deep learning for compressive sensing: a ubiquitous systems perspective | Machidon, Alina L and Pejovi{'c}, Veljko | Artificial Intelligence Review | S | Not Available |
| 2022-09-01 | Multilevel wavelet-based hierarchical networks for image compressed sensing | Yin, Zhu and Shi, WuZhen and Wu, Zhongcheng and Zhang, Jun | Pattern Recognition | I | Not Available |
| 2022-08-15 | AMS-Net: Adaptive multi-scale network for image compressive sensing | Zhang, Kuiyuan and Hua, Zhongyun and Li, Yuanman and Chen, Yongyong and Zhou, Yicong | IEEE Transactions on Multimedia | I | GitHub |
| 2022-08-05 | Multi-channel deep networks for block-based image compressive sensing | Zhou, Siwang and He, Yan and Liu, Yonghe and Li, Chengqing and Zhang, Jianming | IEEE Transactions on Multimedia | I | GitHub |
| 2022-04-22 | TransCS: A transformer-based hybrid architecture for image compressed sensing | Shen, Minghe and Gan, Hongping and Ning, Chao and Hua, Yi and Zhang, Tao | IEEE Transactions on Image Processing | T+E | GitHub |
| Time | Title | Author | Journal/Conference | Type | Code |
|---|---|---|---|---|---|
| 2021-12-03 | Image compressed sensing using non-local neural network | Cui, Wenxue and Liu, Shaohui and Jiang, Feng and Zhao, Debin | IEEE Transactions on Multimedia | I | GitHub |
| 2021-10-17 | Memory-augmented deep unfolding network for compressive sensing | Song, Jiechong and Chen, Bin and Zhang, Jian | Proceedings of the 29th ACM International Conference on Multimedia | E | GitHub |
| 2021-06-29 | COAST: Controllable arbitrary-sampling network for compressive sensing | You, Di and Zhang, Jian and Xie, Jingfen and Chen, Bin and Ma, Siwei | IEEE Transactions on Image Processing | E | GitHub |
| 2021-06-09 | ISTA-Net++: Flexible deep unfolding network for compressive sensing | You, Di and Xie, Jingfen and Zhang, Jian | 2021 IEEE International Conference on Multimedia and Expo (ICME) | E | GitHub |
| Time | Title | Author | Journal/Conference | Type | Code |
|---|---|---|---|---|---|
| 2020-12-18 | AMP-Net: Denoising-based deep unfolding for compressive image sensing | Zhang, Zhonghao and Liu, Yipeng and Liu, Jiani and Wen, Fei and Zhu, Ce | IEEE Transactions on Image Processing | E | GitHub |
| 2020-11-17 | Learning memory augmented cascading network for compressed sensing of images | Chen, Jiwei and Sun, Yubao and Liu, Qingshan and Huang, Rui | European Conference on Computer Vision | I | GitHub |
| 2020-09-17 | Dual-path attention network for compressed sensing image reconstruction | Sun, Yubao and Chen, Jiwei and Liu, Qingshan and Liu, Bo and Guo, Guodong | IEEE Transactions on Image Processing | I | GitHub |
| 2020-08-26 | Overview of compressed sensing: Sensing model, reconstruction algorithm, and its applications | Li, Lixiang and Fang, Yuan and Liu, Liwei and Peng, Haipeng and Kurths, Jurgen and Yang, Yixian | Applied Sciences | S | Not Available |
| 2020-08-23 | Sequential convolution and runge-kutta residual architecture for image compressed sensing | Zheng, Runkai and Zhang, Yinqi and Huang, Daolang and Chen, Qingliang | European Conference on Computer Vision | E | GitHub |
| 2020-05-01 | MD-Recon-Net: A parallel dual-domain convolutional neural network for compressed sensing MRI | You, Di and Zhang, Jian and Xie, Jingfen and Chen, Bin and Ma, Siwei | IEEE Transactions on Radiation and Plasma Medical Sciences | I | GitHub |
| 2020-03-02 | Optimization-inspired compact deep compressive sensing | Zhang, Jian and Zhao, Chen and Gao, Wen | IEEE Journal of Selected Topics in Signal Processing | E | GitHub |
| 2020-02-01 | Learning image compressed sensing with sub-pixel convolutional generative adversarial network | Sun, Yubao and Chen, Jiwei and Liu, Qingshan and Liu, Guangcan | Pattern Recognition | I | GitHub |
| Time | Title | Author | Journal/Conference | Type | Code |
|---|---|---|---|---|---|
| 2019-02-12 | Compressive sensing multi-layer residual coefficients for image coding | Chen, Zan and Hou, Xingsong and Shao, Ling and Gong, Chen and Qian, Xueming and Huang, Yuan and Wang, Shidong | IEEE Transactions on Circuits and Systems for Video Technology | I | Not Available |
| 2019-09-24 | DR2-Net: Deep residual reconstruction network for image compressive sensing | Yao, Hantao and Dai, Feng and Zhang, Shiliang and Zhang, Yongdong and Tian, Qi and Xu, Changsheng | Neurocomputing | I | GitHub |
| 2019-07-17 | Image compressed sensing using convolutional neural network | Shi, Wuzhen and Jiang, Feng and Liu, Shaohui and Zhao, Debin | IEEE Transactions on Image Processing | I | GitHub |
| 2019-06-15 | Scalable convolutional neural network for image compressed sensing | Shi, Wuzhen and Jiang, Feng and Liu, Shaohui and Zhao, Debin | Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition | I | GitHub |
| 2019-05-24 | Learning a compressed sensing measurement matrix via gradient unrolling | Wu, Shanshan and Dimakis, Alex and Sanghavi, Sujay and Yu, Felix and Holtmann-Rice, Daniel and Storcheus, Dmitry and Rostamizadeh, Afshin and Kumar, Sanjiv | International Conference on Machine Learning | E | GitHub |
| 2019-02-24 | Bayesian convolutional neural networks for compressed sensing restoration | Lan, Xinjie and Guo, Xin and Barner, Kenneth E | arXiv preprint | E | GitHub |
| 2019-02-07 | Fully convolutional measurement network for compressive sensing image reconstruction | Du, Jiang and Xie, Xuemei and Wang, Chenye and Shi, Guangming and Xu, Xun and Wang, Yuxiang | Neurocomputing | I | GitHub |
| Time | Title | Author | Journal/Conference | Type | Code |
|---|---|---|---|---|---|
| 2018-12-16 | ISTA-Net: Interpretable optimization-inspired deep network for image compressive sensing | Zhang, Jian and Ghanem, Bernard | Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition | E | GitHub |
| 2018-12-09 | Multi-scale deep compressive sensing network | Canh, Thuong Nguyen and Jeon, Byeungwoo | 2018 IEEE Visual Communications and Image Processing (VCIP) | I | GitHub |
| 2018-11-28 | ADMM-CSNet: A deep learning approach for image compressive sensing | Yang, Yan and Sun, Jian and Li, Huibin and Xu, Zongben | IEEE Transactions on Pattern Analysis and Machine Intelligence | E | GitHub |
| 2018-08-28 | Cascaded reconstruction network for compressive image sensing | Wang, Yahan and Bai, Huihui and Zhao, Lijun and Zhao, Yao | EURASIP Journal on Image and Video Processing | I | Not Available |
| 2018-03-28 | Compressed sensing MRI reconstruction using a generative adversarial network with a cyclic loss | Quan, Tran Minh and Nguyen-Duc, Thanh and Jeong, Won-Ki | IEEE Transactions on Medical Imaging | I | GitHub |
| Time | Title | Author | Journal/Conference | Type | Code |
|---|---|---|---|---|---|
| 2017-11-30 | Block-based compressed sensing of images via deep learning | Adler, Amir and Boublil, David and Zibulevsky, Michael | 2017 IEEE 19th International Workshop on Multimedia Signal Processing (MMSP) | I | Not Available |
| 2017-11-03 | Perceptual compressive sensing | Du, Jiang and Xie, Xuemei and Wang, Chenye and Shi, Guangming | Pattern Recognition and Computer Vision: First Chinese Conference, PRCV 2018 | I | GitHub |
| 2017-08-01 | Compressed sensing trends in magnetic resonance imaging | Sandilya, Mrinmoy and Nirmala, SR | Engineering Science and Technology, an International Journal | S | Not Available |
| 2017-08-31 | Deep networks for compressed image sensing | Shi, Wuzhen and Jiang, Feng and Zhang, Shengping and Zhao, Debin | 2017 IEEE International Conference on Multimedia and Expo (ICME) | I | GitHub |
| Time | Title | Author | Journal/Conference | Type | Code |
|---|---|---|---|---|---|
| 2016-12-15 | Deep ADMM-Net for compressive sensing MRI | Yang, Yan and Sun, Jian and Li, Huibin and Xu, Zongben and others | Advances in Neural Information Processing Systems | E | GitHub |
| 2016-12-12 | ReconNet: Non-iterative reconstruction of images from compressively sensed measurements | Kulkarni, Kuldeep and Lohit, Suhas and Turaga, Pavan and Kerviche, Ronan and Ashok, Amit | Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition | I | GitHub |
- Deep-Compressed-Sensing[Summarized by Wenxue Cui]
- Reproducible-Deep-Compressive-Sensing[Summarized by Thuong Nguyen]