1. N. Ahn B. Kang and K. A. Sohn. 2018. Fast Accurate and Lightweight Super-Resolution with Cascading Residual Network. (2018).999. A Nonlinear Primal-Dual Method for Total Variation-Based Image Restoration. SIAM Journal on Scientific Computing (1999). N. Ahn B. Kang and K. A. Sohn. 2018. Fast Accurate and Lightweight Super-Resolution with Cascading Residual Network. (2018).999. A Nonlinear Primal-Dual Method for Total Variation-Based Image Restoration. SIAM Journal on Scientific Computing (1999).
2. C. Dong , Y. Deng , C. Loy , and X. Tang . 2015. Compression Artifacts Reduction by a Deep Convolutional Network . In 2015 IEEE International Conference on Computer Vision (ICCV). IEEE Computer Society , Los Alamitos, CA, USA, 576--584. https://doi.org/10.1109/ICCV. 2015 .73 10.1109/ICCV.2015.73 C. Dong, Y. Deng, C. Loy, and X. Tang. 2015. Compression Artifacts Reduction by a Deep Convolutional Network. In 2015 IEEE International Conference on Computer Vision (ICCV). IEEE Computer Society, Los Alamitos, CA, USA, 576--584. https://doi.org/10.1109/ICCV.2015.73
3. Image Super-Resolution Using Deep Convolutional Networks
4. Unsupervised image restoration and edge location using compound Gauss-Markov random fields and the MDL principle
5. A Cartoon-Texture Approach for JPEG/JPEG 2000 Decompression Based on TGV and Shearlet Transform