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When smartphone cameras are used to take photos of digital screens, usually moire patterns result, severely degrading photo quality.
Sidorov, D.N., Kokaram, A.C.: Removing moire from degraded video archives. In: ESPC, 2002
2002
Earlier work this paper cites.
Sidorov, D.N., Kokaram, A.C.: Suppression of moiré patterns via spectral analysis. In: VCIP, 2002
2002
Earlier work this paper cites.
Sasada, R., Yamada, M., Hara, S., Takeo, H., Shimura, K.: Stationary grid pattern removal using 2d technique for moiré-free radiographic image display. In: Medical Imaging, 2003
2003
Earlier work this paper cites.
Gonzalez R. C., W.R.E.: Digital image processing (3rd edition). In: Prentice-Hall, Inc. 2007
2007
Earlier work this paper cites.
Siddiqui, H., Boutin, M., Bouman, C.A.: Hardware-friendly descreening. TIP, 2009
2009
Earlier work this paper cites.
Subr, K., Soler, C., Durand, F.: Edge-preserving multiscale image decomposition based on local extrema. In: TOG, 2009
2009
Earlier work this paper cites.
Xu, L., Lu, C., Xu, Y., Jia, J.: Image smoothing via l 0 gradient minimization. In: TOG, 2011
2011
Earlier work this paper cites.
Su, Z., Luo, X., Deng, Z., Liang, Y., Ji, Z.: Edge-preserving texture suppression filter based on joint filtering schemes. TMM, 2012
2012
Earlier work this paper cites.
Wei, Z., Wang, J., Nichol, H., Wiebe, S., Chapman, D.: A median-gaussian filtering framework for moiré pattern noise removal from x-ray microscopy image. Micron, 2012
2012
Earlier work this paper cites.
Xu, L., Yan, Q., Xia, Y., Jia, J.: Structure extraction from texture via relative total variation. TOG, 2012
2012
Earlier work this paper cites.
Bao, L., Song, Y., Yang, Q., Yuan, H., Wang, G.: Tree filtering: Efficient structure-preserving smoothing with a minimum spanning tree. TIP, 2013
2013
Earlier work this paper cites.
Eigen, D., Krishnan, D., Fergus, R.: Restoring an image taken through a window covered with dirt or rain. In: CVPR, 2013
2013
Earlier work this paper cites.
Karacan, L., Erdem, E., Erdem, A.: Structure-preserving image smoothing via region covariances. TOG, 2013
2013
Earlier work this paper cites.
Levinskis, A.: Convolutional neural network feature reduction using wavelet transform. Elektronika ir Elektrotechnika, 2013
2013
Earlier work this paper cites.
2014
Earlier work this paper cites.
Sun, B., Li, S., Sun, J.: Scanned image descreening with image redundancy and adaptive filtering. TIP, 2014
2014
Earlier work this paper cites.
Zhang, Q., Shen, X., Xu, L., Jia, J.: Rolling guidance filter. In: ECCV, 2014
2014
Earlier work this paper cites.
Ham, B., Cho, M., Ponce, J.: Robust image filtering using joint static and dynamic guidance. In: CVPR, 2015
2015
Earlier work this paper cites.
Liu, F., Yang, J., Yue, H.: Moiré pattern removal from texture images via low-rank and sparse matrix decomposition. In: VCIP, 2015
2015
Earlier work this paper cites.
Luo, Y., Xu, Y., Ji, H.: Removing rain from a single image via discriminative sparse coding. In: ICCV, 2015
2015
Earlier work this paper cites.
Ronneberger, O., Fischer, P., Brox, T.: U-net: Convolutional networks for biomedical image segmentation. In: MICCAI, 2015
2015
Earlier work this paper cites.
Bell, S., Lawrence Zitnick, C., Bala, K., Girshick, R.: Inside-outside net: Detecting objects in context with skip pooling and recurrent neural networks. In: CVPR, 2016
2016
Earlier work this paper cites.
Gharbi, M., Chaurasia, G., Paris, S., Durand, F.: Deep joint demosaicking and denoising. TOG, 2016
2016
Earlier work this paper cites.
He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: CVPR, 2016
2016
Earlier work this paper cites.
Johnson, J., Alahi, A., Fei-Fei, L.: Perceptual losses for real-time style transfer and super-resolution. In: ECCV, 2016
2016
Cited alongside, same era.
Chang, Y., Yan, L., Zhong, S.: Transformed low-rank model for line pattern noise removal. In: ICCV, 2017
2017
Cited alongside, same era.
2017
Cited alongside, same era.
Gao, F., Huang, T., Wang, J., Sun, J., Hussain, A., Yang, E.: Dual-branch deep convolution neural network for polarimetric sar image classification. Applied Sciences, 2017
2017
Cited alongside, same era.
Huang, G., Liu, Z., Van Der Maaten, L., Weinberger, K.Q.: Densely connected convolutional networks. In: CVPR, 2017
2017
Cited alongside, same era.
Si, J., Zhang, H., Li, C.G., Kuen, J., Kong, X., Kot, A.C., Wang, G.: Dual attention matching network for context-aware feature sequence based person re-identification. In: CVPR, 2018
2018
Later among the works it cites.
Sun, Y., Yu, Y., Wang, W.: Moiré photo restoration using multiresolution convolutional neural networks. TIP, 2018
2018
Later among the works it cites.
Wang, P., Chen, P., Yuan, Y., Liu, D., Huang, Z., Hou, X., Cottrell, G.: Understanding convolution for semantic segmentation. In: WACV, 2018
2018
Later among the works it cites.
Williams, T., Li, R.: Wavelet pooling for convolutional neural networks. In: ICLR, 2018
2018
Later among the works it cites.
Xu, X., Sun, D., Liu, S., Ren, W., Zhang, Y.J., Yang, M.H., Sun, J.: Rendering portraitures from monocular camera and beyond. In: ECCV, 2018
2018
Later among the works it cites.
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Huang, H., He, R., Sun, Z., Tan, T.: Wavelet-srnet: A wavelet-based cnn for multi-scale face super resolution. In: ICCV, 2017
2017
Cited alongside, same era.
Isola, P., Zhu, J.Y., Zhou, T., Efros, A.A.: Image-to-image translation with conditional adversarial networks. In: CVPR, 2017
2017
Cited alongside, same era.
Oyallon, E., Belilovsky, E., Zagoruyko, S.: Scaling the scattering transform: Deep hybrid networks. In: ICCV, 2017
2017
Cited alongside, same era.
Sun, Y., Schaefer, S., Wang, W.: Image structure retrieval via l _ 0 l\_0 minimization. TVCG, 2017
2017
Cited alongside, same era.
Tai, Y., Yang, J., Liu, X., Xu, C.: Memnet: A persistent memory network for image restoration. In: ICCV, 2017
2017
Cited alongside, same era.
Yang, J., Liu, F., Yue, H., Fu, X., Hou, C., Wu, F.: Textured image demoiréing via signal decomposition and guided filtering. TIP, 2017
2017
Cited alongside, same era.
Yang, W., Tan, R.T., Feng, J., Liu, J., Guo, Z., Yan, S.: Deep joint rain detection and removal from a single image. In: CVPR, 2017
2017
Cited alongside, same era.
Zhang, Y., Tian, Y., Kong, Y., Zhong, B., Fu, Y.: Residual dense network for image super-resolution. In: CVPR, 2018
2018
Later among the works it cites.
Fu, J., Liu, J., Tian, H., Li, Y., Bao, Y., Fang, Z., Lu, H.: Dual attention network for scene segmentation. In: CVPR, 2019
2019
Later among the works it cites.
Guo, T., Cherukuri, V., Monga, V.: Dense123’color enhancement dehazing network. In: CVPRW, 2019
2019
Later among the works it cites.
He, B., Wang, C., Shi, B., Duan, L.Y.: Mop moire patterns using mopnet. In: ICCV, 2019
2019
Later among the works it cites.
Hu, X., Fu, C.W., Zhu, L., Heng, P.A.: Depth-attentional features for single-image rain removal. In: CVPR, 2019
2019
Later among the works it cites.
Hu, X., Fu, C.W., Zhu, L., Qin, J., Heng, P.A.: Direction-aware spatial context features for shadow detection and removal. TPAMI,2019
2019
Later among the works it cites.
Jang, D.W., Park, R.H.: Densenet with deep residual channel-attention blocks for single image super resolution. In: CVPRW, 2019
2019
Later among the works it cites.
Liu, Y., Li, Q., Sun, Z.: Attribute-aware face aging with wavelet-based generative adversarial networks. In: CVPR, 2019
2019
Later among the works it cites.
Qin, J., Xie, Z., Shi, Y., Wen, W.: Difficulty-aware image super resolution via deep adaptive dual-network. In: ICME, 2019
2019
Later among the works it cites.
Quan, Y., Deng, S., Chen, Y., Ji, H.: Deep learning for seeing through window with raindrops. In: ICCV, 2019
2019
Later among the works it cites.
Yoo, J., Uh, Y., Chun, S., Kang, B., Ha, J.W.: Photorealistic style transfer via wavelet transforms. In: CVPR, 2019
2019
Later among the works it cites.
Yuan, S., Timofte, R., Slabaugh, G., Leonardis, A.: Aim 2019 challenge on image demoireing: Dataset and study. In: ICCVW, 2019
2019
Later among the works it cites.
Yuan, S., Timofte, R., Slabaugh, G., Leonardis, A., et al.: Aim 2019 challenge on image demoireing: Methods and results. In: ICCVW, 2019
2019
Later among the works it cites.
Isobe, T., Li, S., Jia, X., Yuan, S., Slabaugh, G., Xu, C., Li, Y.L., Wang, S., Tian, Q.: Video super-resolution with temporal group attention. In: CVPR, 2020
2020
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Li, Q., Shen, L., Guo, S., Lai, Z.: Wavelet integrated cnns for noise-robust image classification. In: CVPR, 2020
2020
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Liu, L., Jia, X., Liu, J., Tian, Q.: Joint demosaicing and denoising with self guidance. In: CVPR, 2020
2020
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Yuan, S., Timofte, R., Leonardis, A., Slabaugh, G.: Ntire 2020 challenge on image demoireing: Methods and results. In: CVPRW, 2020
2020
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Zheng, B., Yuan, S., Slabaugh, G., Leonardis, A.: Image demoireing with learnable bandpass filters. In: CVPR, 2020
2020
Closest in time.