Optical Technique, Volume. 50, Issue 3, 269(2024)
A polarization video super-resolution method combining enhanced alignment and multi attention fusion
[1] [1] Gu N T,Xu D,Huang L H,et al.Numeric study of novel compact polarimeter for full-stokes polarization imaging without micro-polarizer array[J].IEEE Access,2020,8:53456—53462.
[2] [2] Luo Haibo,Cao Junfeng,Gai Xingqin,et al.Industrial vision based on polarization imaging and its key technologies[J].Laser& Optoelectronics Progres,2022,59(14):1415003.
[3] [3] Bin M Z,Mohd N S,Chaman V,et al.Super resolution for noisy images using convolutional neural networks[J].Mathematics,2022,10(5):777.
[4] [4] Xv Guoming,Yuan Hongwu,Xue Mogen,el al.Spatial modulation full polarization computing imaging super-resolution via[J].Journal of Computer-Aided Design and Computer Graphics,2021,33(09):1440—1449.
[5] [5] Li Xiaohuan,Wang Xia,Wang Conghe,el al.De-Scattering algorithm for underwater mueller matrix images based on residual unet [J].Acta Optica Sinica,2022,42(24):2410001.
[6] [6] Wang H,Su D W,Liu C C,et al.Deformable non-local network for video super-resolution[J].IEEE Access,2019,7:177734—177744.
[7] [7] Li W B,Tao X,Guo T A,et al.Mucan:multi-correspondence aggregation network for video super-resolution[C]∥Proceedings of the European Conference on Computer Vision,Glasgow,US:Springer,2020:335—351.
[8] [8] Tian Y P,Zhang Y L,Fu Y,et al.Tdan:temporally-deformable alignment network for video super-resolution[C]∥Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition,Seattle,WA,USA:IEEE,2020:3360—3369.
[9] [9] Huang Y,Wang W,Wang L.Video super-resolution via bidirectional recurrent convolutional networks[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2017,40(4):1015—1028.
[10] [10] Isobe T,Jia X,Gu S H,et al.Video super-resolution with recurrent structure-detail network[C]∥ Proceedings of the European Conference on Computer Vision,Glasgow,US:Springer,2020:645—660.
[11] [11] Sajjadi M S,Vemulapalli R,Brown M.Frame-recurrent video super-resolution[C]∥ Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition,Salt Lake City,UT,USA:IEEE,2018:6626—6634.
[12] [12] Chan K C,Wang X T,Yu K,et al.BasicVSR:The search for essential components in video super-resolution and beyond[C]∥ Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition,online:IEEE,2021:4947—4956.
[13] [13] Cao J Z,Li Y W,Zhang K,et al.Video super-resolution transformer[J].arXiv preprint arXiv:210606847,2021.
[14] [14] Liang J Y,Cao J Z,Sun G L,et al.Swinir:image restoration using swin transformer[C]∥Proceedings of the IEEE/CVF International Conference on Computer Vision,Montreal,Canada:IEEE,2021:1833—1844.
[15] [15] Liu Z Y,Wang L M,Wu W,et al.Tam:temporal adaptive module for video recognition[C]∥Proceedings of the IEEE/CVF International Conference on Computer Vision,Montreal,Canada:IEEE,2021:13708—13718.
[16] [16] Nah S,Baik S,Hong S,et al.Ntire 2019 challenge on video deblurring and super-resolution:Dataset and study[C]∥Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops,Long Beach,CA,USA:IEEE,2019:1996—2005.
[17] [17] Loshchilov I,Hutter F.Sgdr:Stochastic gradient descent with warm restarts[J].arXiv preprint arXiv:160803983,2016.
[18] [18] Kingma D P,Ba J.Adam:A method for stochastic optimization[J].arXiv preprint arXiv:14126980,2014.
[19] [19] Jo Y,Oh S W,Kang J,et al.Deep video super-resolution network using dynamic upsampling filters without explicit motion compensation[C]∥ Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition,Salt Lake City,UT,USA:IEEE,2018:3224—3232.
[20] [20] Haris M,Shakhnarovich G,Ukita N.Recurrent back-projection network for video super-resolution[C]∥Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition,Long Beach,CA,USA:IEEE,2019:3897—3906.
[21] [21] Wang X T,Chan K C,Yu K,et al.Edvr:video restoration with enhanced deformable convolutional networks[C]∥Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops,Long Beach,CA,USA:IEEE,2019:1954—1963.
[22] [22] Fuoli D,Gu S H,Timofte R.Efficient video super-resolution through recurrent latent space propagation[C]∥Proceedings of the IEEE/CVF International Conference on Computer Vision Workshop(ICCVW),Seoul,Korea(South):IEEE,2019:3476—3485.
[23] [23] Isobe T,Zhu F,Jia X,et al.Revisiting temporal modeling for video super-resolution[J].arXiv preprint arXiv:200805765,2020.
[24] [24] Xv Guoming,Wang Jie,Ma Jian,et al.Polarization image super-resolution reconstruction based on dual attention residual network[J].Acta Photonica Sinica,2022,51(04):303—317..
[25] [25] Xu G,Wang J,Zhang L,et al.Multi-scale adaptive weighted network for polarization computational imaging super-resolution[J].Applied Physics B,2022,128(11):1—15.
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XU Guoming, JIN Miao, LIANG Dong, MA Jian, WANG Feng, LI Yi. A polarization video super-resolution method combining enhanced alignment and multi attention fusion[J]. Optical Technique, 2024, 50(3): 269