Removal of rain video based on temporal intensity and chromatic constraint of raindrops

Kim J-H, Lee C, Sim J-Y, Kim C-S (2013) Single-image deraining using an adaptive nonlocal means filter. In: Proceedings of IEEE international conference on image processing (ICIP). IEEE, Melbourne, pp 914–917. https://doi.org/10.1109/ICIP.2013.6738189

Arbelaez P, Maire M, Fowlkes C, Malik J (2011) Contour detection and hierarchical image segmentation. IEEE Trans Pattern Anal Mach Intell 33(5):898–916

Garg K, Nayar SK (2004) Detection and removal of rain from videos. IEEE Comput Soc Conf Comput Vis Pattern Recognit 1:528–535

Tripathi AK, Mukhopadhyay S (2012) A probabilistic approach for detection and removal of rain from videos. IETE J Res 57:82–91

Tripathi AK, Mukhopadhyay S (2014) Removal of rain from videos: a review. Signal Image Video Process 8(8):1421–1430

Li Y, Tan RT, Guo X, Lu J, Brown MS (2016) Rain streak removal using layer priors. In: Proceedings of IEEE conference on computer vision and pattern recognition (CVPR). IEEE, Las Vegas, pp 2736–2744. https://doi.org/10.1109/CVPR.2016.299

Xu G, Xu J, Wang B et al (2014) Removal of rain in video based on motion and shape characteristics of raindrops. Int J Light Electron Opt 125(15):1–5

Kim HG, Seo SJ, Song BC (2015) Multi-frame de-raining algorithm using a motion-compensated non-local mean filter for rainy video sequences. J Vis Commun Image Represent 26:317–328

Bossu J, Hautire N, Tarel JP (2011) Rain or snow detection in image sequences through use of a histogram of orientation of streaks. Int J Comput Vis 93(3):348–367

Malekshahi G, Ebahimnezhad H (2014) Detection and removal of rain from video using predominant direction of Gabor filters. J Inf Syst Telecommun 3(1):42–49

Liu C, Pang Y, Wang J, Yang A, Pan J (2014) Frequency domain directional filtering based rain streaks removal from a single color image. In: Huang DS, Bevilacqua V, Premaratne P (eds) International conference on intelligent computing, ICIC 2014. Lecture notes in computer science, vol 8588. Springer, Cham, pp 415–424

Chen D-Y, Chen C, Kang L-W (2014) Visual depth guided color image rain streaks removal using sparse coding. IEEE Trans Circuits Syst Video Technol 24(8):1430–1455

Sun S-H, Fan S-P, Wang Y-CF (2014) Exploiting image structural similarity for single image rain removal. In: Proceedings of IEEE international conference on image processing (ICIP). IEEE, Paris, pp 4482–4486. https://doi.org/10.1109/ICIP.2014.7025909

Kang LW, Lin CW, Fu YH (2012) Automatic single-image-based rain streaks removal via image decomposition. IEEE Trans Image Process 21(4):1742–1755

Santhaseelan V, Asari VK (2015) Utilizing local phase information to remove rain from video. Int J Comput Vis 112(1):71–89

Kim J-H, Sim J-Y, Kim C-S (2015) Video deraining and desnowing using temporal correlation and low-rank matrix completion. IEEE Trans Image Process 24(9):2658–2670

Chen Y-L, Hsu C-T (2013) A generalized low-rank appearance model for spatio-temporally correlated rain streaks. In: Proceedings of IEEE international conference on computer vision. IEEE, Sydney, pp 1968–1975. https://doi.org/10.1109/ICCV.2013.247

Fu X, Huang J, Ding X et al (2017) Clearing the skies: a deep network architecture for single-image rain removal. IEEE Trans Image Process 26(6):2944–2956

Nasreen S (2014) Detection and removal of rain in videos using modern approach. Int J Eng Res 3(2):60–63

Kim J, Lee JK, Lee KM (2016) Accurate image super-resolution using very deep convolutional networks. In: Proceedings of IEEE international conference on computer vision and pattern recognition (CVPR), pp 1646–1654

Ren W, Liu S, Zhang H, Pan J, Cao X, Yang MH (2016) Single image dehazing via multi-scale convolutional neural networks. In: Leibe B, Matas J, Sebe N, Welling M (eds) European conference on computer vision—ECCV 2016, Lecture notes in computer science, vol 9906. Springer, Cham, pp 154–169

Huang D-A, Kang L-W, Wang Y-CF, Lin C-W (2014) Self-learning based image decomposition with applications to single image denoising. IEEE Trans Multimedia 16(1):83–93

Kang L-W, Chuang B-C, Hsu C-C, Lin C-W, Yeh C-H (2013) Self-learning-based single image super-resolution of a highly compressed image. In: Proceedings of IEEE international workshop on multimedia signal processing (MMSP). IEEE, Pula, pp 224–229. https://doi.org/10.1109/MMSP.2013.6659292

You S, Tan RT, Kawakami R et al (2016) Adherent raindrop modeling, detectionand removal in video. IEEE Trans Pattern Anal Mach Intell 38(9):1721–1733

Barnum PC, Narasimhan S, Kanade T (2010) Analysis of rain and snow in frequency space. Int J Comput Vis 86(2–3):256–274

Tian Y, Narasimhan SG (2009) Seeing through water: image restoration using model-based tracking. In: Proceedings of IEEE international conference on computer vision. IEEE, Kyoto, pp 2303–2310. https://doi.org/10.1109/ICCV.2009.5459440

Wang Z, Bovik AC, Sheikh HR, Simoncelli EP (2004) Image quality assessment: from error visibility to structural similarity. IEEE Trans Image Process 13(4):600–612

Luo Y, Xu Y, Ji H (2015) Removing rain from a single image via discriminative sparse coding. In: Proceedings of IEEE international conference on computer vision (ICCV). IEEE, Santiago, pp 3397–3405. https://doi.org/10.1109/ICCV.2015.388

Dong A, Loy CC, He K, Tang X (2016) Image super-resolution using deep convolutional networks. IEEE Trans Pattern Anal Mach Intell 38(2):295–307