Single image rain removal via multi-module deep grid network
Rain streaks severely degenerate the performances of image/video processing tasks, therefore effective methods for removing rain streaks are required for a wide range of practical applications. In this paper, we introduce an end-to-end deep network, called GridDerainNet, to remove rain streaks withi...
Saved in:
| Published in | Computer vision and image understanding Vol. 202; p. 103106 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Inc
01.01.2021
|
| Online Access | Get full text |
Cover
Loading…
| Abstract | Rain streaks severely degenerate the performances of image/video processing tasks, therefore effective methods for removing rain streaks are required for a wide range of practical applications. In this paper, we introduce an end-to-end deep network, called GridDerainNet, to remove rain streaks within single image under different conditions. The architecture of GridDerainNet consists of three modules: pre-processing, multi-scale attentive module and post-processing. The pre-processing module can effectively generate several variants of the given rainy image, in order to extract more key features from the input. The multi-scale attentive module implements a novel attention mechanism, which allows more flexible information exchange and aggregation, taking full use of diversities of a given image. In the end, post-processing module furthers to reduce residual artifacts after previous two steps. Quantitative and qualitative experimental results demonstrate that the proposed algorithm outperforms several state-of-the-art methods on both synthetic and real-world images.
•In this paper, we design a GridDerainNet, which is composed of multi-module. The useful information for deraining can be incorporated based on the interactions of multi modules.•The rainy image features are extracted by incorporating multiple residual dense blocks at different scales, it furthers to make effective use of multi-scale information to remove rain streaks.•Qualitative and quantitative experiments show that our proposed method outperforms several popular state-of-the-art methods on both synthetic and real images. |
|---|---|
| AbstractList | Rain streaks severely degenerate the performances of image/video processing tasks, therefore effective methods for removing rain streaks are required for a wide range of practical applications. In this paper, we introduce an end-to-end deep network, called GridDerainNet, to remove rain streaks within single image under different conditions. The architecture of GridDerainNet consists of three modules: pre-processing, multi-scale attentive module and post-processing. The pre-processing module can effectively generate several variants of the given rainy image, in order to extract more key features from the input. The multi-scale attentive module implements a novel attention mechanism, which allows more flexible information exchange and aggregation, taking full use of diversities of a given image. In the end, post-processing module furthers to reduce residual artifacts after previous two steps. Quantitative and qualitative experimental results demonstrate that the proposed algorithm outperforms several state-of-the-art methods on both synthetic and real-world images.
•In this paper, we design a GridDerainNet, which is composed of multi-module. The useful information for deraining can be incorporated based on the interactions of multi modules.•The rainy image features are extracted by incorporating multiple residual dense blocks at different scales, it furthers to make effective use of multi-scale information to remove rain streaks.•Qualitative and quantitative experiments show that our proposed method outperforms several popular state-of-the-art methods on both synthetic and real images. |
| ArticleNumber | 103106 |
| Author | Jiang, Nanfeng Zhao, Tiesong Chen, Weiling Lin, Liqun |
| Author_xml | – sequence: 1 givenname: Nanfeng surname: Jiang fullname: Jiang, Nanfeng – sequence: 2 givenname: Weiling surname: Chen fullname: Chen, Weiling – sequence: 3 givenname: Liqun surname: Lin fullname: Lin, Liqun – sequence: 4 givenname: Tiesong surname: Zhao fullname: Zhao, Tiesong email: t.zhao@fzu.edu.cn |
| BookMark | eNp9j9tKAzEQhoNUsK2-gFd5ga0z2U3aQm-keIKCFyp4F7LJZEndQ8kexLd3l3rt1QzD_w_ft2CzuqmJsVuEFQKqu-PKDqFfCRDTIUVQF2yOsIVEpPJzNu3rdZJiJq7Yom2PAIjZFuds9xbqoiQeKlMQjybUPFLVDKbkQzC86ssuJFXj-jHjiE68iMHxmrrvJn5ds0tvypZu_uaSfTw-vO-fk8Pr08v-_pDYFKBLrM-VlMKpjFyOYu2NVKkiM2KSc7AVmZU-h8yjcN55YWmDuPEolXVSWJUumTj_tbFp20hen-IIHH80gp789VFP_nry12f_sbQ7l2gkGwJF3dpAtSUXItlOuyb8V_8FUelmBw |
| CitedBy_id | crossref_primary_10_1007_s11042_024_18468_6 crossref_primary_10_1016_j_patcog_2022_109227 crossref_primary_10_1049_ipr2_12550 crossref_primary_10_1145_3625818 crossref_primary_10_1109_TAP_2022_3229175 crossref_primary_10_1016_j_patcog_2022_109277 |
| Cites_doi | 10.1109/TIP.2017.2662206 10.1007/s11263-008-0200-2 10.1007/s11263-011-0421-7 10.1109/TPAMI.2019.2895793 10.1109/TPAMI.2018.2818132 10.1109/CVPR.2019.00400 10.1109/TCI.2016.2644865 10.1109/TIP.2003.819861 10.1109/CVPR.2018.00079 10.1109/CVPR.2019.01125 10.1109/CVPR.2017.186 10.1109/TIP.2017.2691802 10.1109/CVPR.2019.00406 10.1016/j.patcog.2018.03.029 10.1109/CVPR.2018.00324 10.1109/CVPR.2018.00263 10.1109/TIP.2011.2179057 10.1109/CVPR.2017.19 10.1007/s11263-006-0028-6 10.1109/TIP.2017.2753658 10.1109/TCSVT.2014.2308627 10.1016/j.cviu.2019.05.003 10.1016/j.cviu.2017.09.002 10.1109/TIP.2018.2869722 |
| ContentType | Journal Article |
| Copyright | 2020 Elsevier Inc. |
| Copyright_xml | – notice: 2020 Elsevier Inc. |
| DBID | AAYXX CITATION |
| DOI | 10.1016/j.cviu.2020.103106 |
| DatabaseName | CrossRef |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Applied Sciences Engineering Computer Science |
| EISSN | 1090-235X |
| ExternalDocumentID | 10_1016_j_cviu_2020_103106 S1077314220301302 |
| GroupedDBID | --K --M -~X .DC .~1 0R~ 1B1 1~. 1~5 29F 4.4 457 4G. 5GY 5VS 6TJ 7-5 71M 8P~ AABNK AACTN AAEDT AAEDW AAIAV AAIKC AAIKJ AAKOC AALRI AAMNW AAOAW AAQFI AAQXK AAXUO AAYFN ABBOA ABEFU ABFNM ABJNI ABMAC ABXDB ABYKQ ACDAQ ACGFS ACNNM ACRLP ACZNC ADBBV ADEZE ADFGL ADJOM ADMUD ADTZH AEBSH AECPX AEKER AENEX AFKWA AFTJW AGHFR AGUBO AGYEJ AHJVU AHZHX AIALX AIEXJ AIKHN AITUG AJBFU AJOXV ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ AOUOD ASPBG AVWKF AXJTR AZFZN BJAXD BKOJK BLXMC CAG COF CS3 DM4 DU5 EBS EFBJH EFLBG EJD EO8 EO9 EP2 EP3 F0J F5P FDB FEDTE FGOYB FIRID FNPLU FYGXN G-Q GBLVA GBOLZ HF~ HVGLF HZ~ IHE J1W JJJVA KOM LG5 M41 MO0 N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. Q38 R2- RIG RNS ROL RPZ SDF SDG SDP SES SEW SPC SPCBC SSV SSZ T5K TN5 XPP ZMT ~G- AAXKI AAYXX AFJKZ AKRWK CITATION SST |
| ID | FETCH-LOGICAL-c300t-cfb6552d64edb127fa5636ea310edd0924c5fb04f12dfdf2ce8118f156cd52c63 |
| IEDL.DBID | AIKHN |
| ISSN | 1077-3142 |
| IngestDate | Thu Sep 26 17:16:15 EDT 2024 Fri Feb 23 02:47:11 EST 2024 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c300t-cfb6552d64edb127fa5636ea310edd0924c5fb04f12dfdf2ce8118f156cd52c63 |
| ParticipantIDs | crossref_primary_10_1016_j_cviu_2020_103106 elsevier_sciencedirect_doi_10_1016_j_cviu_2020_103106 |
| PublicationCentury | 2000 |
| PublicationDate | January 2021 2021-01-00 |
| PublicationDateYYYYMMDD | 2021-01-01 |
| PublicationDate_xml | – month: 01 year: 2021 text: January 2021 |
| PublicationDecade | 2020 |
| PublicationTitle | Computer vision and image understanding |
| PublicationYear | 2021 |
| Publisher | Elsevier Inc |
| Publisher_xml | – name: Elsevier Inc |
| References | Zhang, Sindagi, Patel (b47) 2019 Chen, Zhang, Xiao, Nie, Shao, Liu, Chua (b6) 2017 Ledig, C., Theis, L., Huszár, F., Caballero, J., Cunningham, A., Acosta, A., Aitken, A., Tejani, A., Totz, J., Wang, Z., et al., 2017. Photo-realistic single image super-resolution using a generative adversarial network. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 4681–4690. Kingma, Ba (b17) 2014 Li, Pan, Li, Tang (b20) 2018 Liu, Yang, Yang, Guo (b24) 2018; 28 Ren, Tian, Han, Chan, Tang (b34) 2017 Yang, Tan, Feng, Guo, Yan, Liu (b42) 2020; 42 Kim, Lee, Sim, Kim (b16) 2013 Eigen, Krishnan, Fergus (b7) 2013 Simonyan, Zisserman (b36) 2014 Pan, Dong, Ren, Lin, Tang, Yang (b27) 2019 Chen, Chen, Kang (b3) 2014; 24 Ren, Pan, Zhang, Cao, Yang (b33) 2019 Garg, Nayar (b12) 2004 Ren (b31) 2008 Luo, Xu, Ji (b26) 2015 Johnson, Alahi, Fei-Fei (b14) 2016 Zhu, Fu, Lischinski, Heng (b53) 2017 Pan, J., Liu, S., Sun, D., Zhang, J., Liu, Y., Ren, J., Li, Z., Tang, J., Lu, H., Tai, Y.-W., et al., 2018. Learning dual convolutional neural networks for low-level vision. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 3070–3079. Redmon, Farhadi (b30) 2018 Zhang, Li, Qi, Leow, Ng (b44) 2006 Chen, Tan, Hou, Chau, Li (b5) 2018 Li, Tan, Guo, Lu, Brown (b22) 2016 Zhao, Gallo, Frosio, Kautz (b51) 2016; 3 Li, Ren, Zhang, Yu, Guo (b21) 2019; 186 Ren, D., Zuo, W., Hu, Q., Zhu, P., Meng, D., 2019b. Progressive image deraining networks: a better and simpler baseline. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 3937–3946. Garg, Nayar (b13) 2007; 75 Zhou, S., Zhang, J., Zuo, W., Xie, H., Pan, J., Ren, J.S., 2019. Davanet: Stereo deblurring with view aggregation. in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 10996–11005. Ren, Ma, Zhang, Pan, Cao, Liu, Yang (b32) 2018 Wei, W., Meng, D., Zhao, Q., Xu, Z., Wu, Y., 2019. Semi-supervised transfer learning for image rain removal. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 3877–3886. Yang, Tan, Feng, Liu, Guo, Yan (b43) 2017 Zhang, Liu, Yang, Yang (b45) 2018; 81 Bossu, Hautière, Tarel (b2) 2011; 93 Chen, Hsu (b4) 2013 Zhang, Tian, Kong, Zhong, Fu (b48) 2018 Kang, Lin, Fu (b15) 2011; 21 Xu, Pan, Zhang, Yang (b40) 2017; 27 Qian, R., Tan, R.T., Yang, W., Su, J., Liu, J., 2018. Attentive generative adversarial network for raindrop removal from a single image. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 2482–2491. Wang, Bovik, Sheikh, Simoncelli (b38) 2004; 13 Zhang, Zuo, Chen, Meng, Zhang (b49) 2017; 26 Fu, X., Huang, J., Zeng, D., Huang, Y., Ding, X., Paisley, J., 2017b. Removing rain from single images via a deep detail network. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 3855–3863. Li, Zhao, Ji, Wu, Wu, Yang, Tao, Reid (b23) 2018; 41 Barnum, Narasimhan, Kanade (b1) 2010; 86 Fu, Huang, Ding, Liao, Paisley (b9) 2017; 26 Yang, Feng, Xie, Liu, Guo, Yan (b41) 2018; 168 Fu, Liang, Huang, Ding, Paisley (b11) 2019 Zhang, H., Patel, V.M., 2018. Density-aware single image de-raining using a multi-stream dense network. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 695–704. Timofte, Agustsson, Van Gool, Yang, Zhang (b37) 2017 Li, He, Zhang, Chang, Dong, Lin (b19) 2018 Fan, Wu, Fu, Huang, Ding (b8) 2018 Zhao, Chen, zang, Zhang, Zuo, Miao (b50) 2019; 1 Liu, Yang, Yang, Guo (b25) 2018 Wang (10.1016/j.cviu.2020.103106_b38) 2004; 13 Li (10.1016/j.cviu.2020.103106_b23) 2018; 41 Liu (10.1016/j.cviu.2020.103106_b25) 2018 Zhang (10.1016/j.cviu.2020.103106_b44) 2006 Ren (10.1016/j.cviu.2020.103106_b31) 2008 Zhang (10.1016/j.cviu.2020.103106_b48) 2018 Xu (10.1016/j.cviu.2020.103106_b40) 2017; 27 Garg (10.1016/j.cviu.2020.103106_b12) 2004 10.1016/j.cviu.2020.103106_b46 Chen (10.1016/j.cviu.2020.103106_b5) 2018 Zhang (10.1016/j.cviu.2020.103106_b49) 2017; 26 Ren (10.1016/j.cviu.2020.103106_b32) 2018 Luo (10.1016/j.cviu.2020.103106_b26) 2015 Zhao (10.1016/j.cviu.2020.103106_b51) 2016; 3 10.1016/j.cviu.2020.103106_b39 Eigen (10.1016/j.cviu.2020.103106_b7) 2013 10.1016/j.cviu.2020.103106_b35 Zhang (10.1016/j.cviu.2020.103106_b45) 2018; 81 Li (10.1016/j.cviu.2020.103106_b22) 2016 Liu (10.1016/j.cviu.2020.103106_b24) 2018; 28 Barnum (10.1016/j.cviu.2020.103106_b1) 2010; 86 Zhang (10.1016/j.cviu.2020.103106_b47) 2019 Bossu (10.1016/j.cviu.2020.103106_b2) 2011; 93 Simonyan (10.1016/j.cviu.2020.103106_b36) 2014 Garg (10.1016/j.cviu.2020.103106_b13) 2007; 75 Yang (10.1016/j.cviu.2020.103106_b42) 2020; 42 Ren (10.1016/j.cviu.2020.103106_b33) 2019 10.1016/j.cviu.2020.103106_b29 10.1016/j.cviu.2020.103106_b28 Johnson (10.1016/j.cviu.2020.103106_b14) 2016 Chen (10.1016/j.cviu.2020.103106_b4) 2013 Chen (10.1016/j.cviu.2020.103106_b3) 2014; 24 Zhu (10.1016/j.cviu.2020.103106_b53) 2017 Li (10.1016/j.cviu.2020.103106_b19) 2018 Timofte (10.1016/j.cviu.2020.103106_b37) 2017 Zhao (10.1016/j.cviu.2020.103106_b50) 2019; 1 Ren (10.1016/j.cviu.2020.103106_b34) 2017 Kang (10.1016/j.cviu.2020.103106_b15) 2011; 21 Kingma (10.1016/j.cviu.2020.103106_b17) 2014 10.1016/j.cviu.2020.103106_b18 Redmon (10.1016/j.cviu.2020.103106_b30) 2018 Yang (10.1016/j.cviu.2020.103106_b41) 2018; 168 Yang (10.1016/j.cviu.2020.103106_b43) 2017 Fu (10.1016/j.cviu.2020.103106_b11) 2019 Pan (10.1016/j.cviu.2020.103106_b27) 2019 Fu (10.1016/j.cviu.2020.103106_b9) 2017; 26 Kim (10.1016/j.cviu.2020.103106_b16) 2013 10.1016/j.cviu.2020.103106_b10 Chen (10.1016/j.cviu.2020.103106_b6) 2017 Li (10.1016/j.cviu.2020.103106_b20) 2018 10.1016/j.cviu.2020.103106_b52 Li (10.1016/j.cviu.2020.103106_b21) 2019; 186 Fan (10.1016/j.cviu.2020.103106_b8) 2018 |
| References_xml | – start-page: 633 year: 2013 end-page: 640 ident: b7 article-title: Restoring an image taken through a window covered with dirt or rain publication-title: Proceedings of the IEEE International Conference on Computer Vision (ICCV) contributor: fullname: Fergus – volume: 81 start-page: 147 year: 2018 end-page: 160 ident: b45 article-title: Visual tracking via boolean map representations publication-title: Pattern Recognit. contributor: fullname: Yang – start-page: 461 year: 2006 end-page: 464 ident: b44 article-title: Rain removal in video by combining temporal and chromatic properties publication-title: Proceedings of the IEEE International Conference on Multimedia and Expo (ICME) contributor: fullname: Ng – start-page: 4210 year: 2017 end-page: 4219 ident: b34 article-title: Video desnowing and deraining based on matrix decomposition publication-title: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) contributor: fullname: Tang – volume: 93 start-page: 348 year: 2011 end-page: 367 ident: b2 article-title: Rain or snow detection in image sequences through use of a histogram of orientation of streaks publication-title: Int. J. Comput. Vis. contributor: fullname: Tarel – start-page: 3253 year: 2018 end-page: 3261 ident: b32 article-title: Gated fusion network for single image dehazing publication-title: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) contributor: fullname: Yang – volume: 42 start-page: 1377 year: 2020 end-page: 1393 ident: b42 article-title: Joint rain detection and removal from a single image with contextualized deep networks publication-title: IEEE Trans. Pattern Anal. Mach. Intell. contributor: fullname: Liu – start-page: 2736 year: 2016 end-page: 2744 ident: b22 article-title: Rain streak removal using layer priors publication-title: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition contributor: fullname: Brown – start-page: I year: 2004 ident: b12 article-title: Detection and removal of rain from videos publication-title: Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Vol. 1 contributor: fullname: Nayar – volume: 26 start-page: 3142 year: 2017 end-page: 3155 ident: b49 article-title: Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising publication-title: IEEE Trans. Image Process. contributor: fullname: Zhang – volume: 26 start-page: 2944 year: 2017 end-page: 2956 ident: b9 article-title: Clearing the skies: A deep network architecture for single-image rain removal publication-title: IEEE Trans. Image Process. contributor: fullname: Paisley – volume: 75 start-page: 3 year: 2007 end-page: 27 ident: b13 article-title: Vision and rain publication-title: Int. J. Comput. Vis. contributor: fullname: Nayar – volume: 168 start-page: 79 year: 2018 end-page: 92 ident: b41 article-title: Video super-resolution based on spatial-temporal recurrent residual networks publication-title: Comput. Vis. Image Underst. contributor: fullname: Yan – start-page: 1968 year: 2013 end-page: 1975 ident: b4 article-title: A generalized kow-rank appearance model for spatio-temporally correlated rain streaks publication-title: Proceedings of the IEEE International Conference on Computer Vision (ICCV) contributor: fullname: Hsu – start-page: 1751 year: 2018 end-page: 1759 ident: b8 article-title: Residual-guide network for single image deraining publication-title: Proceedings of the 26th ACM International Conference on Multimedia contributor: fullname: Ding – start-page: 5659 year: 2017 end-page: 5667 ident: b6 article-title: Sca-cnn: Spatial and channel-wise attention in convolutional networks for image captioning publication-title: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) contributor: fullname: Chua – start-page: 114 year: 2017 end-page: 125 ident: b37 article-title: Ntire 2017 challenge on single image super-resolution: Methods and results publication-title: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) contributor: fullname: Zhang – start-page: 3233 year: 2018 end-page: 3242 ident: b25 article-title: Erase or fill? Deep joint recurrent rain removal and reconstruction in videos publication-title: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) contributor: fullname: Guo – start-page: 6286 year: 2018 end-page: 6295 ident: b5 article-title: Robust video content alignment and compensation for rain removal in a cnn framework publication-title: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) contributor: fullname: Li – volume: 27 start-page: 194 year: 2017 end-page: 205 ident: b40 article-title: Motion blur kernel estimation via deep learning publication-title: IEEE Trans. Image Process. contributor: fullname: Yang – start-page: 1357 year: 2017 end-page: 1366 ident: b43 article-title: Deep joint rain detection and removal from a single image publication-title: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) contributor: fullname: Yan – start-page: 2526 year: 2017 end-page: 2534 ident: b53 article-title: Joint bi-layer optimization for single-image rain streak removal publication-title: Proceedings of the IEEE International Conference on Computer Vision (ICCV) contributor: fullname: Heng – volume: 24 start-page: 1430 year: 2014 end-page: 1455 ident: b3 article-title: Visual depth guided color image rain streaks removal using sparse coding publication-title: IEEE Trans. Circuits Syst. Video Technol. contributor: fullname: Kang – volume: 86 start-page: 256 year: 2010 ident: b1 article-title: Analysis of rain and snow in frequency space publication-title: Int. J. Comput. Vis. contributor: fullname: Kanade – start-page: 2472 year: 2018 end-page: 2481 ident: b48 article-title: Residual dense network for image super-resolution publication-title: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) contributor: fullname: Fu – year: 2014 ident: b36 article-title: Very deep convolutional networks for large-scale image recognition contributor: fullname: Zisserman – year: 2019 ident: b47 article-title: Image de-raining using a conditional generative adversarial network publication-title: IEEE Trans. Circuits Syst. Video Technol. contributor: fullname: Patel – start-page: 1702 year: 2019 end-page: 1711 ident: b27 article-title: Spatially variant linear representation models for joint filtering publication-title: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) contributor: fullname: Yang – volume: 3 start-page: 47 year: 2016 end-page: 57 ident: b51 article-title: Loss functions for image restoration with neural networks publication-title: IEEE Trans. Comput. Imaging contributor: fullname: Kautz – start-page: 3397 year: 2015 end-page: 3405 ident: b26 article-title: Removing rain from a single image via discriminative sparse coding publication-title: Proceedings of the IEEE International Conference on Computer Vision (ICCV) contributor: fullname: Ji – start-page: 533 year: 2008 end-page: 545 ident: b31 article-title: Multi-scale improves boundary detection in natural images publication-title: Proceedings of the European Conference on Computer Vision (ECCV) contributor: fullname: Ren – volume: 1 start-page: 13 year: 2019 ident: b50 article-title: Uncertainty-optimized deep learning model for small-scale person re-identification publication-title: Inform. Sci. contributor: fullname: Miao – start-page: 914 year: 2013 end-page: 917 ident: b16 article-title: Single-image deraining using an adaptive nonlocal means filter publication-title: Proceedings of the IEEE International Conference on Image Processing (ICIP) contributor: fullname: Kim – start-page: 694 year: 2016 end-page: 711 ident: b14 article-title: Perceptual losses for real-time style transfer and super-resolution publication-title: Proceedings of the European Conference on Computer Vision (ECCV) contributor: fullname: Fei-Fei – volume: 28 start-page: 699 year: 2018 end-page: 712 ident: b24 article-title: D3r-net: Dynamic routing residue recurrent network for video rain removal publication-title: IEEE Trans. Image Process. contributor: fullname: Guo – year: 2018 ident: b30 article-title: Yolov3: An incremental improvement contributor: fullname: Farhadi – volume: 186 start-page: 48 year: 2019 end-page: 57 ident: b21 article-title: Single image rain removal via a deep decomposition–composition network publication-title: Comput. Vis. Image Underst. contributor: fullname: Guo – year: 2019 ident: b11 article-title: Lightweight pyramid networks for image deraining publication-title: IEEE Trans. Neural Netw. Learn. Syst. contributor: fullname: Paisley – start-page: 1 year: 2019 end-page: 20 ident: b33 article-title: Single image dehazing via multi-scale convolutional neural networks with holistic edges publication-title: Int. J. Comput. Vis. contributor: fullname: Yang – year: 2014 ident: b17 article-title: Adam: A method for stochastic optimization contributor: fullname: Ba – volume: 13 start-page: 600 year: 2004 end-page: 612 ident: b38 article-title: Image quality assessment: from error visibility to structural similarity publication-title: IEEE Trans. Image Process. contributor: fullname: Simoncelli – start-page: 1056 year: 2018 end-page: 1064 ident: b19 article-title: Non-locally enhanced encoder-decoder network for single image de-raining publication-title: Proceedings of the ACM International Conference on Multimedia (ACM MM) contributor: fullname: Lin – start-page: 8202 year: 2018 end-page: 8211 ident: b20 article-title: Single image dehazing via conditional generative adversarial network publication-title: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) contributor: fullname: Tang – volume: 41 start-page: 915 year: 2018 end-page: 927 ident: b23 article-title: Multi-task structure-aware context modeling for robust keypoint-based object tracking publication-title: IEEE Trans. Pattern Anal. Mach. Intell. contributor: fullname: Reid – volume: 21 start-page: 1742 year: 2011 end-page: 1755 ident: b15 article-title: Automatic single-image-based rain streaks removal via image decomposition publication-title: IEEE Trans. Image Process. contributor: fullname: Fu – year: 2014 ident: 10.1016/j.cviu.2020.103106_b36 contributor: fullname: Simonyan – start-page: 1968 year: 2013 ident: 10.1016/j.cviu.2020.103106_b4 article-title: A generalized kow-rank appearance model for spatio-temporally correlated rain streaks contributor: fullname: Chen – start-page: 461 year: 2006 ident: 10.1016/j.cviu.2020.103106_b44 article-title: Rain removal in video by combining temporal and chromatic properties contributor: fullname: Zhang – start-page: 5659 year: 2017 ident: 10.1016/j.cviu.2020.103106_b6 article-title: Sca-cnn: Spatial and channel-wise attention in convolutional networks for image captioning contributor: fullname: Chen – volume: 26 start-page: 3142 issue: 7 year: 2017 ident: 10.1016/j.cviu.2020.103106_b49 article-title: Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising publication-title: IEEE Trans. Image Process. doi: 10.1109/TIP.2017.2662206 contributor: fullname: Zhang – volume: 86 start-page: 256 issue: 2–3 year: 2010 ident: 10.1016/j.cviu.2020.103106_b1 article-title: Analysis of rain and snow in frequency space publication-title: Int. J. Comput. Vis. doi: 10.1007/s11263-008-0200-2 contributor: fullname: Barnum – start-page: 1 year: 2019 ident: 10.1016/j.cviu.2020.103106_b33 article-title: Single image dehazing via multi-scale convolutional neural networks with holistic edges publication-title: Int. J. Comput. Vis. contributor: fullname: Ren – start-page: 1751 year: 2018 ident: 10.1016/j.cviu.2020.103106_b8 article-title: Residual-guide network for single image deraining contributor: fullname: Fan – start-page: 694 year: 2016 ident: 10.1016/j.cviu.2020.103106_b14 article-title: Perceptual losses for real-time style transfer and super-resolution contributor: fullname: Johnson – volume: 93 start-page: 348 issue: 3 year: 2011 ident: 10.1016/j.cviu.2020.103106_b2 article-title: Rain or snow detection in image sequences through use of a histogram of orientation of streaks publication-title: Int. J. Comput. Vis. doi: 10.1007/s11263-011-0421-7 contributor: fullname: Bossu – volume: 42 start-page: 1377 issue: 6 year: 2020 ident: 10.1016/j.cviu.2020.103106_b42 article-title: Joint rain detection and removal from a single image with contextualized deep networks publication-title: IEEE Trans. Pattern Anal. Mach. Intell. doi: 10.1109/TPAMI.2019.2895793 contributor: fullname: Yang – volume: 1 start-page: 13 year: 2019 ident: 10.1016/j.cviu.2020.103106_b50 article-title: Uncertainty-optimized deep learning model for small-scale person re-identification publication-title: Inform. Sci. contributor: fullname: Zhao – volume: 41 start-page: 915 issue: 4 year: 2018 ident: 10.1016/j.cviu.2020.103106_b23 article-title: Multi-task structure-aware context modeling for robust keypoint-based object tracking publication-title: IEEE Trans. Pattern Anal. Mach. Intell. doi: 10.1109/TPAMI.2018.2818132 contributor: fullname: Li – start-page: I year: 2004 ident: 10.1016/j.cviu.2020.103106_b12 article-title: Detection and removal of rain from videos contributor: fullname: Garg – ident: 10.1016/j.cviu.2020.103106_b39 doi: 10.1109/CVPR.2019.00400 – volume: 3 start-page: 47 issue: 1 year: 2016 ident: 10.1016/j.cviu.2020.103106_b51 article-title: Loss functions for image restoration with neural networks publication-title: IEEE Trans. Comput. Imaging doi: 10.1109/TCI.2016.2644865 contributor: fullname: Zhao – year: 2018 ident: 10.1016/j.cviu.2020.103106_b30 contributor: fullname: Redmon – start-page: 533 year: 2008 ident: 10.1016/j.cviu.2020.103106_b31 article-title: Multi-scale improves boundary detection in natural images contributor: fullname: Ren – start-page: 1702 year: 2019 ident: 10.1016/j.cviu.2020.103106_b27 article-title: Spatially variant linear representation models for joint filtering contributor: fullname: Pan – start-page: 2736 year: 2016 ident: 10.1016/j.cviu.2020.103106_b22 article-title: Rain streak removal using layer priors contributor: fullname: Li – start-page: 2472 year: 2018 ident: 10.1016/j.cviu.2020.103106_b48 article-title: Residual dense network for image super-resolution contributor: fullname: Zhang – volume: 13 start-page: 600 issue: 4 year: 2004 ident: 10.1016/j.cviu.2020.103106_b38 article-title: Image quality assessment: from error visibility to structural similarity publication-title: IEEE Trans. Image Process. doi: 10.1109/TIP.2003.819861 contributor: fullname: Wang – ident: 10.1016/j.cviu.2020.103106_b46 doi: 10.1109/CVPR.2018.00079 – year: 2019 ident: 10.1016/j.cviu.2020.103106_b11 article-title: Lightweight pyramid networks for image deraining publication-title: IEEE Trans. Neural Netw. Learn. Syst. contributor: fullname: Fu – start-page: 3397 year: 2015 ident: 10.1016/j.cviu.2020.103106_b26 article-title: Removing rain from a single image via discriminative sparse coding contributor: fullname: Luo – start-page: 1056 year: 2018 ident: 10.1016/j.cviu.2020.103106_b19 article-title: Non-locally enhanced encoder-decoder network for single image de-raining contributor: fullname: Li – ident: 10.1016/j.cviu.2020.103106_b52 doi: 10.1109/CVPR.2019.01125 – ident: 10.1016/j.cviu.2020.103106_b10 doi: 10.1109/CVPR.2017.186 – volume: 26 start-page: 2944 issue: 6 year: 2017 ident: 10.1016/j.cviu.2020.103106_b9 article-title: Clearing the skies: A deep network architecture for single-image rain removal publication-title: IEEE Trans. Image Process. doi: 10.1109/TIP.2017.2691802 contributor: fullname: Fu – start-page: 4210 year: 2017 ident: 10.1016/j.cviu.2020.103106_b34 article-title: Video desnowing and deraining based on matrix decomposition contributor: fullname: Ren – year: 2014 ident: 10.1016/j.cviu.2020.103106_b17 contributor: fullname: Kingma – ident: 10.1016/j.cviu.2020.103106_b35 doi: 10.1109/CVPR.2019.00406 – volume: 81 start-page: 147 year: 2018 ident: 10.1016/j.cviu.2020.103106_b45 article-title: Visual tracking via boolean map representations publication-title: Pattern Recognit. doi: 10.1016/j.patcog.2018.03.029 contributor: fullname: Zhang – ident: 10.1016/j.cviu.2020.103106_b28 doi: 10.1109/CVPR.2018.00324 – ident: 10.1016/j.cviu.2020.103106_b29 doi: 10.1109/CVPR.2018.00263 – start-page: 114 year: 2017 ident: 10.1016/j.cviu.2020.103106_b37 article-title: Ntire 2017 challenge on single image super-resolution: Methods and results contributor: fullname: Timofte – volume: 21 start-page: 1742 issue: 4 year: 2011 ident: 10.1016/j.cviu.2020.103106_b15 article-title: Automatic single-image-based rain streaks removal via image decomposition publication-title: IEEE Trans. Image Process. doi: 10.1109/TIP.2011.2179057 contributor: fullname: Kang – start-page: 3233 year: 2018 ident: 10.1016/j.cviu.2020.103106_b25 article-title: Erase or fill? Deep joint recurrent rain removal and reconstruction in videos contributor: fullname: Liu – start-page: 3253 year: 2018 ident: 10.1016/j.cviu.2020.103106_b32 article-title: Gated fusion network for single image dehazing contributor: fullname: Ren – ident: 10.1016/j.cviu.2020.103106_b18 doi: 10.1109/CVPR.2017.19 – volume: 75 start-page: 3 issue: 1 year: 2007 ident: 10.1016/j.cviu.2020.103106_b13 article-title: Vision and rain publication-title: Int. J. Comput. Vis. doi: 10.1007/s11263-006-0028-6 contributor: fullname: Garg – start-page: 6286 year: 2018 ident: 10.1016/j.cviu.2020.103106_b5 article-title: Robust video content alignment and compensation for rain removal in a cnn framework contributor: fullname: Chen – volume: 27 start-page: 194 issue: 1 year: 2017 ident: 10.1016/j.cviu.2020.103106_b40 article-title: Motion blur kernel estimation via deep learning publication-title: IEEE Trans. Image Process. doi: 10.1109/TIP.2017.2753658 contributor: fullname: Xu – start-page: 8202 year: 2018 ident: 10.1016/j.cviu.2020.103106_b20 article-title: Single image dehazing via conditional generative adversarial network contributor: fullname: Li – start-page: 2526 year: 2017 ident: 10.1016/j.cviu.2020.103106_b53 article-title: Joint bi-layer optimization for single-image rain streak removal contributor: fullname: Zhu – volume: 24 start-page: 1430 issue: 8 year: 2014 ident: 10.1016/j.cviu.2020.103106_b3 article-title: Visual depth guided color image rain streaks removal using sparse coding publication-title: IEEE Trans. Circuits Syst. Video Technol. doi: 10.1109/TCSVT.2014.2308627 contributor: fullname: Chen – volume: 186 start-page: 48 year: 2019 ident: 10.1016/j.cviu.2020.103106_b21 article-title: Single image rain removal via a deep decomposition–composition network publication-title: Comput. Vis. Image Underst. doi: 10.1016/j.cviu.2019.05.003 contributor: fullname: Li – start-page: 633 year: 2013 ident: 10.1016/j.cviu.2020.103106_b7 article-title: Restoring an image taken through a window covered with dirt or rain contributor: fullname: Eigen – volume: 168 start-page: 79 year: 2018 ident: 10.1016/j.cviu.2020.103106_b41 article-title: Video super-resolution based on spatial-temporal recurrent residual networks publication-title: Comput. Vis. Image Underst. doi: 10.1016/j.cviu.2017.09.002 contributor: fullname: Yang – start-page: 1357 year: 2017 ident: 10.1016/j.cviu.2020.103106_b43 article-title: Deep joint rain detection and removal from a single image contributor: fullname: Yang – volume: 28 start-page: 699 issue: 2 year: 2018 ident: 10.1016/j.cviu.2020.103106_b24 article-title: D3r-net: Dynamic routing residue recurrent network for video rain removal publication-title: IEEE Trans. Image Process. doi: 10.1109/TIP.2018.2869722 contributor: fullname: Liu – start-page: 914 year: 2013 ident: 10.1016/j.cviu.2020.103106_b16 article-title: Single-image deraining using an adaptive nonlocal means filter contributor: fullname: Kim – year: 2019 ident: 10.1016/j.cviu.2020.103106_b47 article-title: Image de-raining using a conditional generative adversarial network publication-title: IEEE Trans. Circuits Syst. Video Technol. contributor: fullname: Zhang |
| SSID | ssj0011491 |
| Score | 2.4453294 |
| Snippet | Rain streaks severely degenerate the performances of image/video processing tasks, therefore effective methods for removing rain streaks are required for a... |
| SourceID | crossref elsevier |
| SourceType | Aggregation Database Publisher |
| StartPage | 103106 |
| Title | Single image rain removal via multi-module deep grid network |
| URI | https://dx.doi.org/10.1016/j.cviu.2020.103106 |
| Volume | 202 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LS8NAEB5qe9GDj6pYH2UP3iQ22exuWvBSiqUq9lILvYVkHxKxD2rbo7_d2WQjFcSDp8CQhWSyOzPf5JsZgOu2jMIkspn7QAiPRYhT0rZiHmcmigRXvsz7bD8PxWDMHid8UoFeWQtjaZXO9hc2PbfWTtJy2mwtsqw1QuAShTaFYaP60DaUrKE7YqwKte7D02D4_TMBQUBQUA9tSo5RVztT0LzkJlsjTKR5-XlgBx_95p-2fE7_EPZdsEi6xfMcQUXP6nDgAkfijuUHisrZDKWsDntbjQaP4W6El3dNsimaD2KnQpClns5xl5FNlpCcVehN52qN9yitF-R1mSkyKyjiJzDu37_0Bp6bm-DJ0PdXnjSp4JwqwbRKAxqZhItQ6ARfTyvlI-KS3KQ-MwFVRhkqdRthhkEkJxWnUoSnUJ3NZ_oMSIdqkXSSREvDWZjKFI-vRp8f5oTOgDbgptRWvCjaY8Qlb-wttrqNrW7jQrcN4KVC4x8fOUb7_ce683-uu4BdaikoecbkEqqr5VpfYQyxSpuwc_sZNN1O-QJwQMPA |
| link.rule.ids | 315,786,790,4521,24144,27955,27956,45618,45712 |
| linkProvider | Elsevier |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LS8NAEB5Ke1APPqri2z14k9Bks7tpwUsRS2q1Fyt4C8k-JGLTUlt_v7PJRiqIB0-BIQvJZHdmvsk3MwBXXRmFaWQz94EQHosQp2RdxTzOTBQJrnxZ9tl-HIv4md2_8JcG3Na1MJZW6Wx_ZdNLa-0kHafNzjzPO08IXKLQpjBsVB_ahpItxqOANqHVH47i8ffPBAQBQUU9tCk5Rl3tTEXzkp_5CmEiLcvPAzv46Df_tOZzBruw7YJF0q-eZw8aumjDjgsciTuWHyiqZzPUsjZsrTUa3IebJ7y8a5JP0XwQOxWCLPR0hruMfOYpKVmF3nSmVniP0npOXhe5IkVFET-A58Hd5Db23NwET4a-v_SkyQTnVAmmVRbQyKRchEKn-HpaKR8Rl-Qm85kJqDLKUKm7CDMMIjmpOJUiPIRmMSv0EZAe1SLtpamWhrMwkxkeX40-PywJnQE9hutaW8m8ao-R1Lyxt8TqNrG6TSrdHgOvFZr8-MgJ2u8_1p38c90lbMSTx4fkYTgencImtXSUMntyBs3lYqXPMZ5YZhduv3wBKULFsA |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Single+image+rain+removal+via+multi-module+deep+grid+network&rft.jtitle=Computer+vision+and+image+understanding&rft.au=Jiang%2C+Nanfeng&rft.au=Chen%2C+Weiling&rft.au=Lin%2C+Liqun&rft.au=Zhao%2C+Tiesong&rft.date=2021-01-01&rft.pub=Elsevier+Inc&rft.issn=1077-3142&rft.eissn=1090-235X&rft.volume=202&rft_id=info:doi/10.1016%2Fj.cviu.2020.103106&rft.externalDocID=S1077314220301302 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1077-3142&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1077-3142&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1077-3142&client=summon |