A model-driven network for guided image denoising
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Dong, 2013, Nonlocally centralized sparse representation for image restoration, IEEE Trans. Image Process., 22, 1620, 10.1109/TIP.2012.2235847
Rudin, 1992, Nonlinear total variation based noise removal algorithms, Physica D, 60, 259, 10.1016/0167-2789(92)90242-F
Wang, 2019, Near-infrared image guided neural networks for color image denoising, 3807
Eisemann, 2004, Flash photography enhancement via intrinsic relighting, ACM Trans. Graph., 23, 673, 10.1145/1015706.1015778
He, 2010, Guided image filtering, vol. 6311, 1
Helou, 2017, Correlation-based deblurring leveraging multispectral chromatic aberration in color and near-infrared joint acquisition, 1402
Li, 2016, Deep joint image filtering, vol. 9908, 154
Jung, 2020, Fusionnet: Multispectral fusion of RGB and NIR images using two stage convolutional neural networks, IEEE Access, 8, 23912, 10.1109/ACCESS.2020.2968559
Zhang, 2020, Deep unfolding network for image super-resolution, 3214
Yang, 2016, Deep ADMM-net for compressive sensing MRI, 10
Monga, 2021, Algorithm unrolling: Interpretable, efficient deep learning for signal and image processing, IEEE Signal Process. Mag., 38, 18, 10.1109/MSP.2020.3016905
Katkovnik, 2010, From local kernel to nonlocal multiple-model image denoising, Int. J. Comput. Vis., 86, 1, 10.1007/s11263-009-0272-7
Mafi, 2019, A comprehensive survey on impulse and Gaussian denoising filters for digital images, Signal Process., 157, 236, 10.1016/j.sigpro.2018.12.006
Goyal, 2020, Image denoising review: From classical to state-of-the-art approaches, Inf. Fusion, 55, 220, 10.1016/j.inffus.2019.09.003
Tomasi, 1998, Bilateral filtering for gray and color images, 839
A. Buades, B. Coll, J. Morel, A Non-Local Algorithm for Image Denoising, in: 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005, 20-26 June 2005, San Diego, CA, USA, 2005, pp. 60–65.
Dabov, 2007, Image denoising by sparse 3-D transform-domain collaborative filtering, IEEE Trans. Image Process., 16, 2080, 10.1109/TIP.2007.901238
Dabov, 2007, Color image denoising via sparse 3D collaborative filtering with grouping constraint in luminance-chrominance space, 313
Gu, 2014, Weighted nuclear norm minimization with application to image denoising, 2862
Xu, 2017, Multi-channel weighted nuclear norm minimization for real color image denoising, 1105
Yan, 2021, Depth image denoising using nuclear norm and learning graph model, ACM Trans. Multim. Comput. Commun. Appl., 16, 122:1
Tian, 2020, Deep learning on image denoising: An overview, Neural Netw., 131, 251, 10.1016/j.neunet.2020.07.025
Zhang, 2017, Beyond a Gaussian denoiser: Residual learning of deep CNN for image denoising, IEEE Trans. Image Process., 26, 3142, 10.1109/TIP.2017.2662206
Zhang, 2018, FFDNet: Toward a fast and flexible solution for CNN-based image denoising, IEEE Trans. Image Process., 27, 4608, 10.1109/TIP.2018.2839891
Yue, 2019, Variational denoising network: Toward blind noise modeling and removal, 1688
Plötz, 2017, Benchmarking denoising algorithms with real photographs, 2750
Abdelhamed, 2018, A high-quality denoising dataset for smartphone cameras, 1692
Helou, 2020, Blind universal Bayesian image denoising with Gaussian noise level learning, IEEE Trans. Image Process., 29, 4885, 10.1109/TIP.2020.2976814
Vo, 2021, HI-GAN: a hierarchical generative adversarial network for blind denoising of real photographs, Inform. Sci., 570, 225, 10.1016/j.ins.2021.04.045
Gu, 2017, Learning dynamic guidance for depth image enhancement, 712
Petschnigg, 2004, Digital photography with flash and no-flash image pairs, ACM Trans. Graph., 23, 664, 10.1145/1015706.1015777
Zhuo, 2010, Enhancing low light images using near infrared flash images, 2537
Baba, 2014, Flash/no-flash image integration using convex optimization, 1185
Son, 2017, Multimodal fusion via a series of transfers for noise removal, 530
Zhou, 2020, Multispectral fusion of RGB and NIR images using weighted least squares and alternating guidance, 1489
Yan, 2021, Deep multi-view enhancement hashing for image retrieval, IEEE Trans. Pattern Anal. Mach. Intell., 43, 1445, 10.1109/TPAMI.2020.2975798
Yan, 2013, Cross-field joint image restoration via scale map, 1537
Yu, 2019, RSC-DGS: fusion of RGB and NIR images using robust spectral consistency and dynamic gradient sparsity, 42:1
Deng, 2021, Deep convolutional neural network for multi-modal image restoration and fusion, IEEE Trans. Pattern Anal. Mach. Intell., 43, 3333, 10.1109/TPAMI.2020.2984244
Miller, 1994, 526
Osher, 2005, An iterative regularization method for total variation-based image restoration, Multiscale Model. Simul., 4, 460, 10.1137/040605412
Beck, 2009, Fast gradient-based algorithms for constrained total variation image denoising and deblurring problems, IEEE Trans. Image Process., 18, 2419, 10.1109/TIP.2009.2028250
Liu, 2018, Single image layer separation via deep admm unrolling, 1
He, 2016, Deep residual learning for image recognition, 770
Huang, 2017, Densely connected convolutional networks, 2261
Hou, 2021, Coordinate attention for efficient mobile network design, 13713
Hu, 2020, Squeeze-and-excitation networks, IEEE Trans. Pattern Anal. Mach. Intell., 42, 2011, 10.1109/TPAMI.2019.2913372
Yan, 2021, Task-adaptive attention for image captioning, IEEE Trans. Circuits Syst. Video Technol., 1, 10.1109/TCSVT.2021.3137593
S. Xu, J. Zhang, K. Sun, Z. Zhao, L. Huang, J. Liu, C. Zhang, Deep Convolutional Sparse Coding Network for Pansharpening with Guidance of Side Information, in: IEEE International Conference on Multimedia and Expo, ICME 2021, Shenzhen, China, July 5-9, 2021, 2021, pp. 1–6.
X. Guo, Y. Li, J. Ma, Mutually Guided Image Filtering, in: Proceedings of the 2017 ACM on Multimedia Conference, MM 2017, Mountain View, CA, USA, October 23-27, 2017, 2017, pp. 1283–1290.
Guo, 2020, Mutually guided image filtering, IEEE Trans. Pattern Anal. Mach. Intell., 42, 694, 10.1109/TPAMI.2018.2883553
Tian, 2020, Image denoising using deep CNN with batch renormalization, Neural Netw., 121, 461, 10.1016/j.neunet.2019.08.022
Tian, 2021, Designing and training of a dual CNN for image denoising, Knowl. Based Syst., 226, 10.1016/j.knosys.2021.106949
Tian, 2020, Attention-guided CNN for image denoising, Neural Netw., 124, 117, 10.1016/j.neunet.2019.12.024
Aksoy, 2018, A dataset of flash and ambient illumination pairs from the crowd, vol. 11213, 644
Brown, 2011, Multi-spectral SIFT for scene category recognition, 177
Helou, 2018, AAM: AN assessment metric of axial chromatic aberration, 2486