{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,29]],"date-time":"2026-01-29T03:52:56Z","timestamp":1769658776288,"version":"3.49.0"},"reference-count":75,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Intelligent Data Analysis: An International Journal"],"published-print":{"date-parts":[[2025,1]]},"abstract":"<jats:p>Capturing images through semi-reflective surfaces, such as glass windows and transparent enclosures, often leads to a reduction in visual quality and can adversely affect the performance of computer vision algorithms. As a result, image reflection removal has garnered significant attention among computer vision researchers. With the growing application of deep learning methods in various computer vision tasks, such as super-resolution, inpainting, and denoising, convolutional neural networks (CNNs) have become an increasingly popular choice for image reflection removal. The purpose of this paper is to provide a comprehensive review of learning-based algorithms designed for image reflection removal. Firstly, we provide an overview of the key terminology and essential background concepts in this field. Next, we examine various datasets and data synthesis methods to assist researchers in selecting the most suitable options for their specific needs and targets. We then review existing methods with qualitative and quantitative results, highlighting their contributions and significance in this field. Finally, some considerations about challenges and future scope in image reflection removal techniques are discussed.<\/jats:p>","DOI":"10.3233\/ida-230904","type":"journal-article","created":{"date-parts":[[2024,6,21]],"date-time":"2024-06-21T11:52:41Z","timestamp":1718970761000},"page":"5-27","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["A review on learning based image reflection removal algorithms"],"prefix":"10.1177","volume":"29","author":[{"given":"Xin","family":"Wang","sequence":"first","affiliation":[{"name":"School of Computer and Information, Hefei University of Technology, Hefei, Anhui, China"},{"name":"Department, Intelligent Interconnected Systems Laboratory of Anhui Province, Hefei, Anhui, China"}]},{"given":"Yong","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer and Information, Hefei University of Technology, Hefei, Anhui, China"}]},{"given":"Junfeng","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Computer and Information, Hefei University of Technology, Hefei, Anhui, China"}]},{"given":"Jun","family":"Gao","sequence":"additional","affiliation":[{"name":"School of Computer and Information, Hefei University of Technology, Hefei, Anhui, China"}]}],"member":"179","published-online":{"date-parts":[[2025,3,28]]},"reference":[{"issue":"4","key":"e_1_3_2_2_2","doi-asserted-by":"crossref","first-page":"365","DOI":"10.1504\/IJBET.2011.044415","article-title":"Analysis of visual cortex event related fmri data using ica decomposition","volume":"7","author":"Ahmed B.","year":"2011","unstructured":"Ahmed B., Ul Alam A., Abdullah-Al-Mamun M., Chowdhury M.E.H., Mursalin T.E., Analysis of visual cortex event related fmri data using ica decomposition, International Journal of Biomedical Engineering and Technology 7(4) (2011), 365\u2013376.","journal-title":"International Journal of Biomedical Engineering and Technology"},{"issue":"10","key":"e_1_3_2_3_2","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1063\/1.1325200","article-title":"Principles of optics: electromagnetic theory of propagation, interference and diffraction of light","volume":"53","author":"Born M.","year":"2000","unstructured":"Born M., Wolf E., Hecht E., Principles of optics: electromagnetic theory of propagation, interference and diffraction of light, Physics Today 53(10) (2000), 77\u201378, 10.","journal-title":"Physics Today"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.3233\/ICA-160535"},{"key":"e_1_3_2_5_2","first-page":"129","author":"Chandramouli P.","year":"2017","unstructured":"Chandramouli P., Noroozi M., Favaro P., Convnet-based depth estimation, reflection separation and deblurring of plenoptic images, In Asian Conference on Computer Vision, 2017, pp. 129\u2013144.","journal-title":"Asian Conference on Computer Vision"},{"issue":"4","key":"e_1_3_2_6_2","doi-asserted-by":"crossref","first-page":"1954","DOI":"10.1109\/TIP.2018.2880088","volume":"28","author":"Chang Y.","year":"2019","unstructured":"Chang Y., Jung C., Single image reflection removal using convolutional neural networks, IEEE Transactions on Image Processing 28(4) (2019), 1954\u20131966.","journal-title":"IEEE Transactions on Image Processing"},{"key":"e_1_3_2_7_2","doi-asserted-by":"crossref","first-page":"1673","DOI":"10.1007\/s11263-019-01276-z","article-title":"Siamese dense network for reflection removal with flash and no-flash image pairs","volume":"128","author":"Chang Y.","year":"2020","unstructured":"Chang Y., Jung C., Sun J., Wang F., Siamese dense network for reflection removal with flash and no-flash image pairs, International Journal of Computer Vision 128 (2020), 1673\u20131698.","journal-title":"International Journal of Computer Vision"},{"key":"e_1_3_2_8_2","doi-asserted-by":"crossref","first-page":"2032","DOI":"10.1109\/WACV48630.2021.00208","author":"Chang Y.-C.","year":"2021","unstructured":"Chang Y.-C., Lu C.-N., Cheng C.-C., Chiu W.-C., Single image reflection removal with edge guidance, reflection classifier, and recurrent decomposition, In 2021 IEEE Winter Conference on Applications of Computer Vision, 2021, pp. 2032\u20132041.","journal-title":"2021 IEEE Winter Conference on Applications of Computer Vision"},{"key":"e_1_3_2_9_2","doi-asserted-by":"crossref","first-page":"643","DOI":"10.1109\/TIP.2022.3230544","volume":"32","author":"Chen W.-T.","year":"2023","unstructured":"Chen W.-T., Chen K.-Y., Chen I.-H., Fang H.-Y., Ding J.-J., Kuo S.-Y., Missing recovery: single image reflection removal based on auxiliary prior learning, IEEE Transactions on Image Processing 32 (2023), 643\u2013656.","journal-title":"IEEE Transactions on Image Processing"},{"key":"e_1_3_2_10_2","unstructured":"Chi Z. Wu X. Shu X. Gu J. Single image reflection removal using deep encoder-decoder network arXiv 2018."},{"key":"e_1_3_2_11_2","first-page":"1","author":"Diamant Y.","year":"2008","unstructured":"Diamant Y., Schechner Y.Y., Overcoming visual reverberations, In 2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008, pp. 1\u20138.","journal-title":"2008 IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"e_1_3_2_12_2","doi-asserted-by":"crossref","unstructured":"Dong Z. Xu K. Yang Y. Bao H. Xu W. Lau R.W. Location-aware single image reflection removal. In 2021 IEEE\/CVF International Conference on Computer Vision 2021 pp. 4997\u20135006.","DOI":"10.1109\/ICCV48922.2021.00497"},{"key":"e_1_3_2_13_2","first-page":"2758","author":"Dosovitskiy A.","year":"2015","unstructured":"Dosovitskiy A., Fischer P., Ilg E., Hausser P., Hazirbas C., Golkov V., Van Der Smagt P., Cremers D., Brox T., Flownet: Learning optical flow with convolutional networks, In 2015 IEEE International Conference on Computer Vision, 2015, pp. 2758\u20132766.","journal-title":"2015 IEEE International Conference on Computer Vision"},{"key":"e_1_3_2_14_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0275-4"},{"key":"e_1_3_2_15_2","first-page":"3258","author":"Fan Q.","year":"2017","unstructured":"Fan Q., Yang J., Hua G., Chen B., Wipf D., A generic deep architecture for single image reflection removal and image smoothing, In 2017 IEEE International Conference on Computer Vision, 2017, pp. 3258\u20133267.","journal-title":"2017 IEEE International Conference on Computer Vision"},{"key":"e_1_3_2_16_2","doi-asserted-by":"publisher","DOI":"10.3233\/KES-180385"},{"issue":"1","key":"e_1_3_2_17_2","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1080\/01431160902882504","article-title":"Towards an intelligent multi-sensor satellite image analysis based on blind source separation using multi-source image fusion","volume":"31","author":"Farah I.","year":"2010","unstructured":"Farah I., Ben Ahmed M., Towards an intelligent multi-sensor satellite image analysis based on blind source separation using multi-source image fusion, International Journal of Remote Sensing 31(1) (2010), 13\u201338.","journal-title":"International Journal of Remote Sensing"},{"issue":"9","key":"e_1_3_2_18_2","doi-asserted-by":"crossref","first-page":"2136","DOI":"10.1364\/JOSAA.16.002136","article-title":"Separating reflections from images by use of independent component analysis","volume":"16","author":"Farid H.","year":"1999","unstructured":"Farid H., Adelson E.H., Separating reflections from images by use of independent component analysis, Journal of the Optical Society of America. A, Optics, Image Science, and Vision 16(9) (1999), 2136\u20132145.","journal-title":"Journal of the Optical Society of America. A, Optics, Image Science, and Vision"},{"key":"e_1_3_2_19_2","doi-asserted-by":"crossref","first-page":"2195","DOI":"10.1109\/CVPR.2014.281","author":"Guo X.","year":"2014","unstructured":"Guo X., Cao X., Ma Y., Robust separation of reflection from multiple images, In 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014, pp. 2195\u20132202.","journal-title":"2014 IEEE Conference on Computer Vision and Pattern Recognition"},{"issue":"3","key":"e_1_3_2_20_2","article-title":"Single image reflection removal based on residual attention mechanism","volume":"13","author":"Guo Y.","year":"2023","unstructured":"Guo Y., Lu W., Li X., Huang Q., Single image reflection removal based on residual attention mechanism, Applied Sciences 13(3) (2023).","journal-title":"Applied Sciences"},{"key":"e_1_3_2_21_2","first-page":"447","author":"Hariharan B.","year":"2015","unstructured":"Hariharan B., Arbel\u00e1ez P., Girshick R., Malik J., Hypercolumns for object segmentation and fine-grained localization, In 2015 IEEE Conference on Computer Vision and Pattern Recognition, 2015, pp. 447\u2013456.","journal-title":"2015 IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"e_1_3_2_22_2","doi-asserted-by":"crossref","first-page":"92","DOI":"10.1016\/j.ins.2017.10.019","article-title":"Hidden community detection in social networks","volume":"425","author":"He K.","year":"2018","unstructured":"He K., Li Y., Soundarajan S., Hopcroft J.E., Hidden community detection in social networks, Information Sciences 425 (2018), 92\u2013106.","journal-title":"Information Sciences"},{"key":"e_1_3_2_23_2","first-page":"1","author":"Hong Y.","year":"2020","unstructured":"Hong Y., Lyu Y., Li S., Shi B., Near-infrared image guided reflection removal, In 2020 IEEE International Conference on Multimedia and Expo, 2020, pp. 1\u20136.","journal-title":"2020 IEEE International Conference on Multimedia and Expo"},{"key":"e_1_3_2_24_2","first-page":"7758","author":"Hong Y.","year":"2021","unstructured":"Hong Y., Zheng Q., Zhao L., Jiang X., Kot A.C., Shi B., Panoramic image reflection removal, In 2021 IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2021, pp.\u00a07758\u20137767.","journal-title":"2021 IEEE\/CVF Conference on Computer Vision and Pattern Recognition"},{"key":"e_1_3_2_25_2","first-page":"24683","author":"Hu Q.","year":"2021","unstructured":"Hu Q., Guo X., Trash or treasure? An interactive dual-stream strategy for single image reflection separation, In Advances in Neural Information Processing Systems, volume 34, 2021, pp. 24683\u201324694.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_26_2","doi-asserted-by":"crossref","first-page":"7065","DOI":"10.1145\/3581783.3611697","author":"Jiang K.","year":"2023","unstructured":"Jiang K., Liu W., Wang Z., Zhong X., Jiang J., Lin C.-W., Dawn: Direction-aware attention wavelet network for image deraining, In Proceedings of the 31st ACM International Conference on Multimedia, 2023, pp. 7065\u20137074.","journal-title":"Proceedings of the 31st ACM International Conference on Multimedia"},{"key":"e_1_3_2_27_2","unstructured":"Jokinen L. Karjalainen S. Hel looks https:\/\/www.hel-looks.com\/ 2005."},{"key":"e_1_3_2_28_2","first-page":"5163","author":"Kim S.","year":"2020","unstructured":"Kim S., Huo Y., Yoon S.-E., Single image reflection removal with physically-based training images, In 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2020, pp. 5163\u20135172.","journal-title":"2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition"},{"key":"e_1_3_2_29_2","doi-asserted-by":"crossref","first-page":"383","DOI":"10.1109\/OJSP.2024.3351472","volume":"5","author":"Lan H.","year":"2024","unstructured":"Lan H., Zhang E., Jung C., Face reflection removal network using multispectral fusion of rgb and nir images, IEEE Open Journal of Signal Processing 5 (2024), 383\u2013392.","journal-title":"IEEE Open Journal of Signal Processing"},{"key":"e_1_3_2_30_2","first-page":"14806","author":"Lei C.","year":"2021","unstructured":"Lei C., Chen Q., Robust reflection removal with reflection-free flash-only cues, In 2021 IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2021, pp. 14806\u201314815.","journal-title":"2021 IEEE\/CVF Conference on Computer Vision and Pattern Recognition"},{"key":"e_1_3_2_31_2","first-page":"3039","author":"Lei C.","year":"2022","unstructured":"Lei C., Huang X., Qi C., Zhao Y., Sun W., Yan Q., Chen Q., A categorized reflection removal dataset with diverse real-world scenes, In 2022 IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022, pp. 3039\u20133047.","journal-title":"2022 IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops"},{"key":"e_1_3_2_32_2","first-page":"1747","author":"Lei C.","year":"2020","unstructured":"Lei C., Huang X., Zhang M., Yan Q., Sun W., Chen Q., Polarized reflection removal with perfect alignment in the wild, In 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2020, pp. 1747\u20131755.","journal-title":"2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition"},{"issue":"9","key":"e_1_3_2_33_2","doi-asserted-by":"crossref","first-page":"1647","DOI":"10.1109\/TPAMI.2007.1106","article-title":"User assisted separation of reflections from a single image using a sparsity prior","volume":"29","author":"Levin A.","year":"2007","unstructured":"Levin A., Weiss Y., User assisted separation of reflections from a single image using a sparsity prior, IEEE Transactions on Pattern Analysis and Machine Intelligence 29(9) (2007), 1647\u20131654.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"e_1_3_2_34_2","author":"Levin A.","year":"2002","unstructured":"Levin A., Zomet A., Weiss Y., Learning to perceive transparency from the statistics of natural scenes, In Advances in Neural Information Processing Systems, volume 15, 2002.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_35_2","author":"Levin A.","year":"2004","unstructured":"Levin A., Zomet A., Weiss Y., Separating reflections from a single image using local features, In Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004, volume 1, 2004, p. I.","journal-title":"Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004"},{"key":"e_1_3_2_36_2","first-page":"3562","author":"Li C.","year":"2020","unstructured":"Li C., Yang Y., He K., Lin S., Hopcroft J.E., Single image reflection removal through cascaded refinement, In 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2020, pp. 3562\u20133571.","journal-title":"2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition"},{"key":"e_1_3_2_37_2","first-page":"781","author":"Li R.","year":"2020","unstructured":"Li R., Qiu S., Zang G., Heidrich W., Reflection separation via multi-bounce polarization state tracing, In European Conference on Computer Vision, 2020, pp. 781\u2013796.","journal-title":"European Conference on Computer Vision"},{"key":"e_1_3_2_38_2","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1109\/TIP.2020.3031184","volume":"30","author":"Li T.","year":"2020","unstructured":"Li T., Chan Y.-H., Lun D.P., Improved multiple-image-based reflection removal algorithm using deep neural networks, IEEE Transactions on Image Processing 30 (2020), 68\u201379.","journal-title":"IEEE Transactions on Image Processing"},{"key":"e_1_3_2_39_2","doi-asserted-by":"crossref","first-page":"2432","DOI":"10.1109\/ICCV.2013.302","article-title":"Exploiting reflection change for automatic reflection removal","author":"Li Y.","year":"2013","unstructured":"Li Y., Brown M.S., Exploiting reflection change for automatic reflection removal, In 2013 IEEE international conference on computer vision, 2013, pp. 2432\u20132439.","journal-title":"2013 IEEE international conference on computer vision"},{"key":"e_1_3_2_40_2","doi-asserted-by":"crossref","first-page":"2752","DOI":"10.1109\/CVPR.2014.346","author":"Li Y.","year":"2014","unstructured":"Li Y., Brown M.S., Single image layer separation using relative smoothness, In 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014, pp. 2752\u20132759.","journal-title":"2014 IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"e_1_3_2_41_2","first-page":"1","article-title":"Two-stage single image reflection removal with reflection-aware guidance","volume":"53","author":"Li Y.","year":"2023","unstructured":"Li Y., Liu M., Yi Y., Li Q., Ren D., Zuo W., Two-stage single image reflection removal with reflection-aware guidance, Applied Intelligence 53 (2023), 1\u201316, 03.","journal-title":"Applied Intelligence"},{"key":"e_1_3_2_42_2","first-page":"740","article-title":"Microsoft coco: Common objects in context","author":"Lin T.-Y.","year":"2014","unstructured":"Lin T.-Y., Maire M., Belongie S., Hays J., Perona P., Ramanan D., Doll\u00e1r P., Zitnick C.L., Microsoft coco: Common objects in context, In European conference on computer vision, 2014, pp. 740\u2013755.","journal-title":"European conference on computer vision"},{"key":"e_1_3_2_43_2","doi-asserted-by":"publisher","DOI":"10.3233\/THC-202657"},{"key":"e_1_3_2_44_2","author":"Lyu Y.","year":"2019","unstructured":"Lyu Y., Cui Z., Li S., Pollefeys M., Shi B., Reflection separation using a pair of unpolarized and polarized images, In Advances in Neural Information Processing Systems, 2019.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_45_2","first-page":"2444","author":"Ma D.","year":"2019","unstructured":"Ma D., Wan R., Shi B., Kot A.C., Duan L.-Y., Learning to jointly generate and separate reflections, In 2019 IEEE\/CVF International Conference on Computer Vision, 2019, pp. 2444\u20132452.","journal-title":"2019 IEEE\/CVF International Conference on Computer Vision"},{"key":"e_1_3_2_46_2","author":"Christopher Z.","year":"1997","unstructured":"Mooney and Christopher Z., Monte carlo simulation, SAGE Publications, Inc, 1997.","journal-title":"Monte carlo simulation"},{"key":"e_1_3_2_47_2","doi-asserted-by":"crossref","first-page":"413","DOI":"10.1109\/CVPR.2009.5206537","article-title":"Recognizing indoor scenes","author":"Quattoni A.","year":"2009","unstructured":"Quattoni A., Torralba A., Recognizing indoor scenes, In 2009 IEEE conference on computer vision and pattern recognition, 2009, pp. 413\u2013420.","journal-title":"2009 IEEE conference on computer vision and pattern recognition"},{"key":"e_1_3_2_48_2","doi-asserted-by":"crossref","first-page":"4958","DOI":"10.1109\/TMM.2022.3185929","article-title":"Unsupervised single-image reflection removal","volume":"25","author":"RahmaniKhezri H.","year":"2023","unstructured":"RahmaniKhezri H., Kim S., Hefeeda M., Unsupervised single-image reflection removal, IEEE Transactions on Multimedia 25 (2023), 4958\u20134971.","journal-title":"IEEE Transactions on Multimedia"},{"key":"e_1_3_2_49_2","doi-asserted-by":"crossref","first-page":"814","DOI":"10.1109\/ICCV.1999.790305","author":"Schechner Y.","year":"1999","unstructured":"Schechner Y., Shamir J., Kiryati N., Polarization-based decorrelation of transparent layers: The inclination angle of an invisible surface, In Proceedings of the Seventh IEEE International Conference on Computer Vision, volume 2, 1999, pp. 814\u2013819.","journal-title":"Proceedings of the Seventh IEEE International Conference on Computer Vision"},{"key":"e_1_3_2_50_2","first-page":"3193","article-title":"Reflection removal using ghosting cues","author":"Shih Y.","year":"2015","unstructured":"Shih Y., Krishnan D., Durand F., Freeman W.T., Reflection removal using ghosting cues, In 2015 IEEE conference on computer vision and pattern recognition, 2015, pp. 3193\u20133201.","journal-title":"2015 IEEE conference on computer vision and pattern recognition"},{"key":"e_1_3_2_51_2","unstructured":"Simonyan K. Zisserman A. Very deep convolutional networks for large-scale image recognition arXiv 2015."},{"issue":"7","key":"e_1_3_2_52_2","doi-asserted-by":"crossref","first-page":"1011","DOI":"10.1109\/LSP.2019.2915560","volume":"26","author":"Sun J.","year":"2019","unstructured":"Sun J., Chang Y., Jung C., Feng J., Multi-modal reflection removal using convolutional neural networks, IEEE Signal Processing Letters 26(7) (2019), 1011\u20131015.","journal-title":"IEEE Signal Processing Letters"},{"issue":"6","key":"e_1_3_2_53_2","doi-asserted-by":"crossref","first-page":"3718","DOI":"10.1109\/TSMC.2021.3069265","article-title":"Asymmetric cnn for image superresolution","volume":"52","author":"Tian C.","year":"2022","unstructured":"Tian C., Xu Y., Zuo W., Lin C.-W., Zhang D., Asymmetric cnn for image superresolution, IEEE Transactions on Systems, Man, and Cybernetics: Systems 52(6) (2022), 3718\u20133730.","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics: Systems"},{"key":"e_1_3_2_54_2","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1016\/j.neunet.2022.06.009","article-title":"Image super-resolution with an enhanced group convolutional neural network","volume":"153","author":"Tian C.","year":"2022","unstructured":"Tian C., Yuan Y., Zhang S., Lin C.-W., Zuo W., Zhang D., Image super-resolution with an enhanced group convolutional neural network, Neural Networks 153 (2022), 373\u2013385.","journal-title":"Neural Networks"},{"key":"e_1_3_2_55_2","unstructured":"Tian C. Zhang X. Lin J.C.-W. Zuo W. Zhang Y. Lin C.-W. Generative adversarial networks for image super-resolution: A survey 2022."},{"key":"e_1_3_2_56_2","first-page":"1","article-title":"A heterogeneous group cnn for image super-resolution","author":"Tian C.","year":"2022","unstructured":"Tian C., Zhang Y., Zuo W., Lin C.-W., Zhang D., Yuan Y., A heterogeneous group cnn for image super-resolution, IEEE Transactions on Neural Networks and Learning Systems, 2022, pp. 1\u201313.","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"key":"e_1_3_2_57_2","doi-asserted-by":"crossref","first-page":"102043","DOI":"10.1016\/j.inffus.2023.102043","article-title":"A cross transformer for image denoising","volume":"102","author":"Tian C.","year":"2024","unstructured":"Tian C., Zheng M., Zuo W., Zhang S., Zhang Y., Lin C.-W., A cross transformer for image denoising, Information Fusion 102 (2024), 102043.","journal-title":"Information Fusion"},{"issue":"6","key":"e_1_3_2_58_2","doi-asserted-by":"crossref","first-page":"2927","DOI":"10.1109\/TIP.2018.2808768","volume":"27","author":"Wan R.","year":"2018","unstructured":"Wan R., Shi B., Duan L.-Y., Tan A.-H., Gao W., Kot A.C., Region-aware reflection removal with unified content and gradient priors, IEEE Transaction on Image Processing 27(6) (2018), 2927\u20132941.","journal-title":"IEEE Transaction on Image Processing"},{"key":"e_1_3_2_59_2","first-page":"3942","author":"Wan R.","year":"2017","unstructured":"Wan R., Shi B., Duan L.-Y., Tan A.-H., Kot A.C., Benchmarking single-image reflection removal algorithms, In 2017 IEEE International Conference on Computer Vision, 2017, pp. 3942\u20133950.","journal-title":"2017 IEEE International Conference on Computer Vision"},{"key":"e_1_3_2_60_2","first-page":"4777","author":"Wan R.","year":"2018","unstructured":"Wan R., Shi B., Duan L.-Y., Tan A.-H., Kot A.C., Crrn: Multi-scale guided concurrent reflection removal network, In 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018, pp 4777\u20134785.","journal-title":"2018 IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"e_1_3_2_61_2","first-page":"2395","author":"Wan R.","year":"2020","unstructured":"Wan R., Shi B., Li H., Duan L.-Y., Kot A.C., Reflection scene separation from a single image, In 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2020, pp. 2395\u20132403.","journal-title":"2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition"},{"key":"e_1_3_2_62_2","doi-asserted-by":"crossref","first-page":"385","DOI":"10.1007\/s11263-020-01372-5","article-title":"Face image reflection removal","volume":"129","author":"Wan R.","year":"2021","unstructured":"Wan R., Shi B., Li H., Duan L.-Y., Kot A.C., Face image reflection removal, International Journal of Computer Vision 129 (2021), 385\u2013399.","journal-title":"International Journal of Computer Vision"},{"issue":"12","key":"e_1_3_2_63_2","doi-asserted-by":"crossref","first-page":"2969","DOI":"10.1109\/TPAMI.2019.2921574","article-title":"Corrn: Cooperative reflection removal network","volume":"42","author":"Wan R.","year":"2019","unstructured":"Wan R., Shi B., Li H., Duan L.-Y., Tan A.-H., Kot A.C., Corrn: Cooperative reflection removal network, IEEE Transactions on Pattern Analysis and Machine Intelligence 42(12) (2019), 2969\u20132982.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"e_1_3_2_64_2","doi-asserted-by":"crossref","unstructured":"Wang C. Shi B. Duan L.-Y. Learning to remove reflections from windshield images Signal Processing: Image Communication 78 (2019) 94\u2013102.","DOI":"10.1016\/j.image.2019.06.007"},{"key":"e_1_3_2_65_2","doi-asserted-by":"crossref","unstructured":"Wei K. Yang J. Fu Y. Wipf D. Huang H. Single image reflection removal exploiting misaligned training data and network enhancements In 2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition 2019 pp. 8170\u20138179.","DOI":"10.1109\/CVPR.2019.00837"},{"key":"e_1_3_2_66_2","first-page":"3766","author":"Wen Q.","year":"2019","unstructured":"Wen Q., Tan Y., Qin J., Liu W., Han G., He S., Single image reflection removal beyond linearity, In 2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2019, pp. 3766\u20133774.","journal-title":"2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition"},{"key":"e_1_3_2_67_2","first-page":"89","author":"Wieschollek P.","year":"2018","unstructured":"Wieschollek P., Gallo O., Gu J., Kautz J., Separating reflection and transmission images in the wild, In European Conference on Computer Vision, 2018, pp. 89\u2013104.","journal-title":"European Conference on Computer Vision"},{"issue":"4","key":"e_1_3_2_68_2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/2766940","article-title":"A computational approach for obstruction-free photography","volume":"34","author":"Xue T.","year":"2015","unstructured":"Xue T., Rubinstein M., Liu C., Freeman W.T., A computational approach for obstruction-free photography, ACM Transactions on Graphics 34(4) (2015), 1\u201311.","journal-title":"ACM Transactions on Graphics"},{"key":"e_1_3_2_69_2","first-page":"675","author":"Yang J.","year":"2018","unstructured":"Yang J., Gong D., Liu L., Shi Q., Seeing deeply and bidirectionally: A deep learning approach for single image reflection removal, In European Conference on Computer Vision, 2018, pp. 675\u2013691.","journal-title":"European Conference on Computer Vision"},{"key":"e_1_3_2_70_2","unstructured":"Yin Y. Fan Q. Chen D. Yujie W. Aviles-Rivero A. Li R. Schnlieb C.-B. Lischinski D. Chen B. Deep reflection prior arXiv 2019."},{"key":"e_1_3_2_71_2","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00166"},{"key":"e_1_3_2_72_2","first-page":"4786","article-title":"Single image reflection separation with perceptual losses","author":"Zhang X.","year":"2018","unstructured":"Zhang X., Ng R., Chen Q., Single image reflection separation with perceptual losses, In 2018 IEEE conference on computer vision and pattern recognition, 2018, pp. 4786\u20134794.","journal-title":"2018 IEEE conference on computer vision and pattern recognition"},{"key":"e_1_3_2_73_2","first-page":"13390","author":"Zheng Q.","year":"2021","unstructured":"Zheng Q., Shi B., Chen J., Jiang X., Duan L.-Y., Kot A.C., Single image reflection removal with absorption effect, In 2018 Conference on Computer Vision and Pattern Recognition, 2021, pp. 13390\u201313399.","journal-title":"2018 Conference on Computer Vision and Pattern Recognition"},{"key":"e_1_3_2_74_2","first-page":"2766","author":"Zheng Q.","year":"2019","unstructured":"Zheng Q., Shi B., Jiang X., Duan L.-Y., Kot A.C., Denoising adversarial networks for rain removal and reflection removal, In 2019 IEEE International Conference on Image Processing, 2019, pp. 2766\u20132770.","journal-title":"2019 IEEE International Conference on Image Processing"},{"key":"e_1_3_2_75_2","first-page":"1743","author":"Zhong X.","year":"2022","unstructured":"Zhong X., Tu S., Ma X., Jiang K., Huang W., Wang Z., Rainy wcity: A real rainfall dataset with diverse conditions for semantic driving scene understanding, In Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022, pp. 1743\u20131749.","journal-title":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence"},{"key":"e_1_3_2_76_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2723009"}],"container-title":["Intelligent Data Analysis: An International Journal"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/IDA-230904","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.3233\/IDA-230904","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/IDA-230904","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T16:25:38Z","timestamp":1769617538000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.3233\/IDA-230904"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1]]},"references-count":75,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2025,1]]}},"alternative-id":["10.3233\/IDA-230904"],"URL":"https:\/\/doi.org\/10.3233\/ida-230904","relation":{},"ISSN":["1088-467X","1571-4128"],"issn-type":[{"value":"1088-467X","type":"print"},{"value":"1571-4128","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,1]]}}}