{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T07:57:56Z","timestamp":1743148676613,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":23,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811540172"},{"type":"electronic","value":"9789811540189"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-981-15-4018-9_30","type":"book-chapter","created":{"date-parts":[[2020,3,28]],"date-time":"2020-03-28T11:02:43Z","timestamp":1585393363000},"page":"331-342","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Tackling Multiple Visual Artifacts: Blind Image Restoration Using Conditional Adversarial Networks"],"prefix":"10.1007","author":[{"given":"M.","family":"Anand","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A. Ashwin","family":"Natraj","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"V. Jeya Maria","family":"Jose","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"K.","family":"Subramanian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Priyanka","family":"Bhardwaj","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"R.","family":"Pandeeswari","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"S.","family":"Deivalakshmi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,3,29]]},"reference":[{"issue":"2","key":"30_CR1","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1109\/79.581363","volume":"14","author":"MR Banham","year":"1997","unstructured":"Banham, M.R., Katsaggelos, A.K.: Digital image restoration. IEEE Sig. Process. Mag. 14(2), 24\u201341 (1997)","journal-title":"IEEE Sig. Process. Mag."},{"issue":"8","key":"30_CR2","first-page":"315","volume":"4","author":"A Kaur","year":"2013","unstructured":"Kaur, A., Verma, D.: Blind and non-blind image restoration techniques. Int. J. Adv. Res. Comput. Sci. 4(8), 315\u2013317 (2013)","journal-title":"Int. J. Adv. Res. Comput. Sci."},{"issue":"7553","key":"30_CR3","doi-asserted-by":"publisher","first-page":"436","DOI":"10.1038\/nature14539","volume":"521","author":"Y LeCun","year":"2015","unstructured":"LeCun, Y., Bengio, Y., Hinton, G.: Deep learning. Nature 521(7553), 436 (2015)","journal-title":"Nature"},{"issue":"4-5","key":"30_CR4","doi-asserted-by":"publisher","first-page":"405","DOI":"10.1177\/0278364918770733","volume":"37","author":"N S\u00fcnderhauf","year":"2018","unstructured":"S\u00fcnderhauf, N., et al.: The limits and potentials of deep learning for robotics. Int. J. Robot. Res. 37(4-5), 405\u2013420 (2018)","journal-title":"Int. J. Robot. Res."},{"key":"30_CR5","unstructured":"Bakas, S., et al.: Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the brats challenge. arXiv preprint arXiv:1811.02629 (2018)"},{"key":"30_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"142","DOI":"10.1007\/978-3-030-11726-9_13","volume-title":"Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries","author":"M Islam","year":"2019","unstructured":"Islam, M., Jose, V.J.M., Ren, H.: Glioma prognosis: segmentation of the tumor and survival prediction using shape, geometric and clinical information. In: Crimi, A., Bakas, S., Kuijf, H., Keyvan, F., Reyes, M., van Walsum, T. (eds.) BrainLes 2018. LNCS, vol. 11384, pp. 142\u2013153. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-11726-9_13"},{"key":"30_CR7","unstructured":"Goodfellow, I., et al.: Generative adversarial nets. In: Advances in Neural Information Processing Systems, pp. 2672\u20132680 (2014)"},{"key":"30_CR8","unstructured":"Junginger, A., Hanselmann, M., Strauss, T., Boblest, S., Buchner, J., Ulmer, H.: Unpaired high-resolution and scalable style transfer using generative adversarial networks. arXiv preprint arXiv:1810.05724 (2018)"},{"key":"30_CR9","unstructured":"Demir, U., Unal, G.: Patch-based image inpainting with generative adversarial networks. arXiv preprint arXiv:1803.07422 (2018)"},{"key":"30_CR10","doi-asserted-by":"crossref","unstructured":"Ledig, C., et al.: 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\u20134690 (2017)","DOI":"10.1109\/CVPR.2017.19"},{"key":"30_CR11","doi-asserted-by":"crossref","unstructured":"Kupyn, O., Budzan, V., Mykhailych, M., Mishkin, D., Matas, J.: DeblurGAN: blind motion deblurring using conditional adversarial networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 8183\u20138192 (2018)","DOI":"10.1109\/CVPR.2018.00854"},{"key":"30_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"292","DOI":"10.1007\/978-3-030-11723-8_29","volume-title":"Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries","author":"M Islam","year":"2019","unstructured":"Islam, M., Vaidyanathan, N.R., Jose, V.J.M., Ren, H.: Ischemic stroke lesion segmentation using adversarial learning. In: Crimi, A., Bakas, S., Kuijf, H., Keyvan, F., Reyes, M., van Walsum, T. (eds.) BrainLes 2018. LNCS, vol. 11383, pp. 292\u2013300. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-11723-8_29"},{"key":"30_CR13","unstructured":"Tripathi, S., Lipton, Z.C., Nguyen, T.Q.: Correction by projection: denoising images with generative adversarial networks. arXiv preprint arXiv:1803.04477 (2018)"},{"key":"30_CR14","doi-asserted-by":"crossref","unstructured":"Isola, P., Zhu, J.-Y., Zhou, T., Efros, A.A.: Image-to-image translation with conditional adversarial networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1125\u20131134 (2017)","DOI":"10.1109\/CVPR.2017.632"},{"issue":"432","key":"30_CR15","doi-asserted-by":"publisher","first-page":"1200","DOI":"10.1080\/01621459.1995.10476626","volume":"90","author":"DL Donoho","year":"1995","unstructured":"Donoho, D.L., Johnstone, I.M.: Adapting to unknown smoothness via wavelet shrinkage. J. Am. Stat. Assoc. 90(432), 1200\u20131224 (1995)","journal-title":"J. Am. Stat. Assoc."},{"issue":"10","key":"30_CR16","doi-asserted-by":"publisher","first-page":"1479","DOI":"10.1109\/TIP.2005.852196","volume":"14","author":"RH Chan","year":"2005","unstructured":"Chan, R.H., Ho, C.-W., Nikolova, M.: Salt-and-pepper noise removal by median-type noise detectors and detail-preserving regularization. IEEE Trans. Image Process. 14(10), 1479\u20131485 (2005)","journal-title":"IEEE Trans. Image Process."},{"issue":"4","key":"30_CR17","doi-asserted-by":"publisher","first-page":"809","DOI":"10.1109\/LGRS.2011.2112331","volume":"8","author":"H Zhong","year":"2011","unstructured":"Zhong, H., Li, Y., Jiao, L.: SAR image despeckling using bayesian nonlocal means filter with sigma preselection. IEEE Geosci. Remote Sens. Lett. 8(4), 809\u2013813 (2011)","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"30_CR18","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"823","DOI":"10.1007\/3-540-47979-1_55","volume-title":"Computer Vision \u2014 ECCV 2002","author":"GD Finlayson","year":"2002","unstructured":"Finlayson, G.D., Hordley, S.D., Drew, M.S.: Removing shadows from images. In: Heyden, A., Sparr, G., Nielsen, M., Johansen, P. (eds.) ECCV 2002. LNCS, vol. 2353, pp. 823\u2013836. Springer, Heidelberg (2002). https:\/\/doi.org\/10.1007\/3-540-47979-1_55"},{"key":"30_CR19","doi-asserted-by":"crossref","unstructured":"Fredembach, C., Finlayson, G.D.: Fast re-integration of shadow free images. In: Twelfth Color Imaging Conference: Color Science and Engineering Systems, Technologies, and Applications, pp. 117\u2013122 (2004)","DOI":"10.2352\/CIC.2004.12.1.art00022"},{"issue":"11","key":"30_CR20","doi-asserted-by":"publisher","first-page":"4623","DOI":"10.1109\/TIP.2015.2465159","volume":"24","author":"L Zhang","year":"2015","unstructured":"Zhang, L., Zhang, Q., Xiao, C.: Shadow remover: image shadow removal based on illumination recovering optimization. IEEE Trans. Image Process. 24(11), 4623\u20134636 (2015)","journal-title":"IEEE Trans. Image Process."},{"key":"30_CR21","doi-asserted-by":"crossref","unstructured":"Wang, J., Li, X., Yang, J.: Stacked conditional generative adversarial networks for jointly learning shadow detection and shadow removal. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1788\u20131797 (2018)","DOI":"10.1109\/CVPR.2018.00192"},{"key":"30_CR22","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"234","DOI":"10.1007\/978-3-319-24574-4_28","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2015","author":"O Ronneberger","year":"2015","unstructured":"Ronneberger, O., Fischer, P., Brox, T.: U-Net: convolutional networks for biomedical image segmentation. In: Navab, N., Hornegger, J., Wells, W.M., Frangi, A.F. (eds.) MICCAI 2015. LNCS, vol. 9351, pp. 234\u2013241. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-24574-4_28"},{"key":"30_CR23","unstructured":"https:\/\/affinelayer.com\/pix2pix\/"}],"container-title":["Communications in Computer and Information Science","Computer Vision and Image Processing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-15-4018-9_30","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,29]],"date-time":"2023-09-29T06:52:36Z","timestamp":1695970356000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-15-4018-9_30"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9789811540172","9789811540189"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-981-15-4018-9_30","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"29 March 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CVIP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computer Vision and Image Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Jaipur","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"India","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 September 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 September 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"cvip2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/cvip2019.mnit.ac.in\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"202","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"73","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"10","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"36% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}