{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T08:08:05Z","timestamp":1742976485832,"version":"3.40.3"},"publisher-location":"Cham","reference-count":40,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031113482"},{"type":"electronic","value":"9783031113499"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-11349-9_7","type":"book-chapter","created":{"date-parts":[[2022,7,23]],"date-time":"2022-07-23T17:06:46Z","timestamp":1658596006000},"page":"73-84","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Channel Difference Based Regeneration Architecture for\u00a0Fake Colorized Image Detection"],"prefix":"10.1007","author":[{"given":"Shruti S.","family":"Phutke","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Subrahmanyam","family":"Murala","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,7,24]]},"reference":[{"key":"7_CR1","doi-asserted-by":"publisher","first-page":"515","DOI":"10.1109\/TIFS.2014.2300937","volume":"9","author":"G Cao","year":"2014","unstructured":"Cao, G., Zhao, Y., Ni, R., Li, X.: Contrast enhancement-based forensics in digital images. IEEE Trans. Inf. Forensics Secur. 9, 515\u2013525 (2014)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"7_CR2","doi-asserted-by":"publisher","first-page":"556","DOI":"10.1109\/TIP.2017.2768180","volume":"27","author":"M Ghorai","year":"2017","unstructured":"Ghorai, M., Mandal, S., Chanda, B.: A group-based image inpainting using patch refinement in MRF framework. IEEE Trans. Image Process. 27, 556\u2013567 (2017)","journal-title":"IEEE Trans. Image Process."},{"key":"7_CR3","doi-asserted-by":"publisher","first-page":"3252","DOI":"10.1109\/TMM.2018.2831636","volume":"20","author":"J Liu","year":"2018","unstructured":"Liu, J., Yang, S., Fang, Y., Guo, Z.: Structure-guided image inpainting using homography transformation. IEEE Trans. Multimedia 20, 3252\u20133265 (2018)","journal-title":"IEEE Trans. Multimedia"},{"key":"7_CR4","doi-asserted-by":"publisher","first-page":"1047","DOI":"10.1109\/TCSVT.2016.2633878","volume":"28","author":"XL Liu","year":"2016","unstructured":"Liu, X.L., Lin, C.C., Yuan, S.M.: Blind dual watermarking for color images authentication and copyright protection. IEEE Trans. Circ. Syst. Video Technol. 28, 1047\u20131055 (2016)","journal-title":"IEEE Trans. Circ. Syst. Video Technol."},{"key":"7_CR5","doi-asserted-by":"crossref","unstructured":"Bhunia, A.K., Perla, S.R.K., Mukherjee, P., Das, A., Roy, P.P.: Texture synthesis guided deep hashing for texture image retrieval. In: 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), pp. 609\u2013618. IEEE (2019)","DOI":"10.1109\/WACV.2019.00070"},{"key":"7_CR6","doi-asserted-by":"publisher","first-page":"5491","DOI":"10.1109\/TIP.2017.2740620","volume":"26","author":"Z Cheng","year":"2017","unstructured":"Cheng, Z., Yang, Q., Sheng, B.: Colorization using neural network ensemble. IEEE Trans. Image Process. 26, 5491\u20135505 (2017)","journal-title":"IEEE Trans. Image Process."},{"key":"7_CR7","doi-asserted-by":"crossref","unstructured":"Deng, J., Dong, W., Socher, R., Li, L.J., Li, K., Fei-Fei, L.: ImageNet: a large-scale hierarchical image database. In: 2009 IEEE Conference on Computer Vision and Pattern Recognition, pp. 248\u2013255. IEEE (2009)","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"7_CR8","doi-asserted-by":"publisher","first-page":"675","DOI":"10.1109\/LSP.2020.2988590","volume":"27","author":"D Akshay","year":"2020","unstructured":"Akshay, D., Hambarde, P., Patil, P., Murala, S.: Deep underwater image restoration and beyond. IEEE Signal Process. Lett. 27, 675\u2013679 (2020)","journal-title":"IEEE Signal Process. Lett."},{"key":"7_CR9","doi-asserted-by":"publisher","first-page":"1932","DOI":"10.1109\/TIFS.2018.2806926","volume":"13","author":"Y Guo","year":"2018","unstructured":"Guo, Y., Cao, X., Zhang, W., Wang, R.: Fake colorized image detection. IEEE Trans. Inf. Forensics Secur. 13, 1932\u20131944 (2018)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"7_CR10","doi-asserted-by":"crossref","unstructured":"Hashisho, Y., Albadawi, M., Krause, T., von Lukas, U.F.: Underwater color restoration using U-Net denoising autoencoder. arXiv preprint arXiv:1905.09000 (2019)","DOI":"10.1109\/ISPA.2019.8868679"},{"key":"7_CR11","unstructured":"Akshay, D., Biradar, K.M., Patil, P.W., Hambarde, P., Murala, S.: Varicolored image de-hazing. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 4564\u20134573 (2020)"},{"key":"7_CR12","doi-asserted-by":"publisher","first-page":"976","DOI":"10.1109\/LSP.2019.2913530","volume":"26","author":"MDM Hosseini","year":"2019","unstructured":"Hosseini, M.D.M., Kirchner, M.: Unsupervised image manipulation localization with non-binary label attribution. IEEE Signal Process. Lett. 26, 976\u2013980 (2019)","journal-title":"IEEE Signal Process. Lett."},{"key":"7_CR13","doi-asserted-by":"publisher","first-page":"110","DOI":"10.1145\/2897824.2925974","volume":"35","author":"S Iizuka","year":"2016","unstructured":"Iizuka, S., Simo-Serra, E., Ishikawa, H.: Let there be color!: joint end-to-end learning of global and local image priors for automatic image colorization with simultaneous classification. ACM Trans. Graph. (TOG) 35, 110 (2016)","journal-title":"ACM Trans. Graph. (TOG)"},{"key":"7_CR14","doi-asserted-by":"crossref","unstructured":"Praful, H., Dudhane, A., Murala, S.: Single image depth estimation using deep adversarial training. In: 2019 IEEE International Conference on Image Processing (ICIP), pp. 989\u2013993. IEEE (2019)","DOI":"10.1109\/WACV.2019.00127"},{"key":"7_CR15","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1016\/j.patrec.2011.09.032","volume":"33","author":"R Khan","year":"2012","unstructured":"Khan, R., Hanbury, A., Stottinger, J., Bais, A.: Color based skin classification. Pattern Recogn. Lett. 33, 157\u2013163 (2012)","journal-title":"Pattern Recogn. Lett."},{"key":"7_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"577","DOI":"10.1007\/978-3-319-46493-0_35","volume-title":"Computer Vision \u2013 ECCV 2016","author":"G Larsson","year":"2016","unstructured":"Larsson, G., Maire, M., Shakhnarovich, G.: Learning representations for automatic colorization. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9908, pp. 577\u2013593. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46493-0_35"},{"key":"7_CR17","doi-asserted-by":"publisher","first-page":"689","DOI":"10.1145\/1015706.1015780","volume":"23","author":"A Levin","year":"2004","unstructured":"Levin, A., Lischinski, D., Weiss, Y.: Colorization using optimization. ACM Trans. Graph. (ToG) 23, 689\u2013694 (2004)","journal-title":"ACM Trans. Graph. (ToG)"},{"key":"7_CR18","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1016\/j.patrec.2017.09.010","volume":"114","author":"MM Lie","year":"2018","unstructured":"Lie, M.M., Borba, G.B., Neto, H.V., Gamba, H.R.: Joint upsampling of random color distance maps for fast salient region detection. Pattern Recogn. Lett. 114, 22\u201330 (2018)","journal-title":"Pattern Recogn. Lett."},{"key":"7_CR19","doi-asserted-by":"publisher","first-page":"1673","DOI":"10.1016\/j.patrec.2012.06.001","volume":"33","author":"S Liu","year":"2012","unstructured":"Liu, S., Zhang, X.: Automatic grayscale image colorization using histogram regression. Pattern Recogn. Lett. 33, 1673\u20131681 (2012)","journal-title":"Pattern Recogn. Lett."},{"key":"7_CR20","doi-asserted-by":"crossref","unstructured":"Hambarde, P., Dudhane, A., Patil, P.W., Murala, S., Dhall, A.: Depth estimation from single image and semantic prior. In: 2020 IEEE International Conference on Image Processing (ICIP), pp. 1441\u20131445. IEEE (2020)","DOI":"10.1109\/ICIP40778.2020.9190985"},{"key":"7_CR21","first-page":"3289","volume":"29","author":"W Luo","year":"2017","unstructured":"Luo, W., Li, J., Yang, J., Xu, W., Zhang, J.: Convolutional sparse autoencoders for image classification. IEEE Trans. Neural Netw. Learn. Syst. 29, 3289\u20133294 (2017)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"7_CR22","doi-asserted-by":"publisher","first-page":"207","DOI":"10.1016\/j.neucom.2019.08.031","volume":"367","author":"S Chaudhary","year":"2019","unstructured":"Chaudhary, S., Murala, S.: Deep network for human action recognition using Weber motion. Neurocomputing 367, 207\u2013216 (2019)","journal-title":"Neurocomputing"},{"key":"7_CR23","doi-asserted-by":"publisher","first-page":"2212","DOI":"10.1016\/j.patcog.2006.03.015","volume":"39","author":"H Noda","year":"2006","unstructured":"Noda, H., Korekuni, J., Niimi, M.: A colorization algorithm based on local map estimation. Pattern Recogn. 39, 2212\u20132217 (2006)","journal-title":"Pattern Recogn."},{"key":"7_CR24","doi-asserted-by":"publisher","first-page":"108350","DOI":"10.1016\/j.patcog.2021.108350","volume":"122","author":"PW Patil","year":"2022","unstructured":"Patil, P.W., Dudhane, A., Chaudhary, S., Murala, S.: Multi-frame based adversarial learning approach for video surveillance. Pattern Recogn. 122, 108350 (2022)","journal-title":"Pattern Recogn."},{"key":"7_CR25","doi-asserted-by":"publisher","first-page":"3714","DOI":"10.1016\/j.patcog.2007.04.005","volume":"40","author":"H Noda","year":"2007","unstructured":"Noda, H., Niimi, M.: Colorization in YCbCr color space and its application to jpeg images. Pattern Recogn. 40, 3714\u20133720 (2007)","journal-title":"Pattern Recogn."},{"key":"7_CR26","doi-asserted-by":"crossref","unstructured":"Patil, P.W., Biradar, K.M., Dudhane, A., Murala, S.: An end-to-end edge aggregation network for moving object segmentation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 8149\u20138158 (2020)","DOI":"10.1109\/CVPR42600.2020.00817"},{"key":"7_CR27","doi-asserted-by":"publisher","first-page":"22084","DOI":"10.1109\/ACCESS.2018.2812809","volume":"6","author":"S Park","year":"2018","unstructured":"Park, S., Yu, S., Kim, M., Park, K., Paik, J.: Dual autoencoder network for retinex-based low-light image enhancement. IEEE Access 6, 22084\u201322093 (2018)","journal-title":"IEEE Access"},{"issue":"1","key":"7_CR28","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1049\/iet-cvi.2018.5020","volume":"13","author":"S Chaudhary","year":"2019","unstructured":"Chaudhary, S., Murala, S.: Depth-based end-to-end deep network for human action recognition. IET Comput. Vis. 13(1), 15\u201322 (2019)","journal-title":"IET Comput. Vis."},{"key":"7_CR29","doi-asserted-by":"crossref","unstructured":"Philbin, J., Chum, O., Isard, M., Sivic, J., Zisserman, A.: Object retrieval with large vocabularies and fast spatial matching. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2007)","DOI":"10.1109\/CVPR.2007.383172"},{"key":"7_CR30","doi-asserted-by":"publisher","first-page":"806","DOI":"10.1109\/TCI.2020.2981761","volume":"6","author":"P Hambarde","year":"2020","unstructured":"Hambarde, P., Murala, S.: S2DNet: depth estimation from single image and sparse samples. IEEE Trans. Comput. Imaging 6, 806\u2013817 (2020)","journal-title":"IEEE Trans. Comput. Imaging"},{"key":"7_CR31","doi-asserted-by":"publisher","first-page":"1755","DOI":"10.1109\/LSP.2020.3026954","volume":"27","author":"Z Shi","year":"2020","unstructured":"Shi, Z., Shen, X., Chen, H., Lyu, Y.: Global semantic consistency network for image manipulation detection. IEEE Sig. Process. Lett. 27, 1755\u20131759 (2020)","journal-title":"IEEE Sig. Process. Lett."},{"key":"7_CR32","doi-asserted-by":"publisher","first-page":"7889","DOI":"10.1109\/TIP.2021.3108405","volume":"30","author":"PW Patil","year":"2021","unstructured":"Patil, P.W., et al.: An unified recurrent video object segmentation framework for various surveillance environments. IEEE Trans. Image Process. 30, 7889\u20137902 (2021)","journal-title":"IEEE Trans. Image Process."},{"key":"7_CR33","doi-asserted-by":"publisher","first-page":"765","DOI":"10.1109\/LSP.2020.2994817","volume":"27","author":"M Sugawara","year":"2020","unstructured":"Sugawara, M., Uruma, K., Hangai, S., Hamamoto, T.: Local and global graph approaches to image colorization. IEEE Sig. Process. Lett. 27, 765\u2013769 (2020)","journal-title":"IEEE Sig. Process. Lett."},{"key":"7_CR34","doi-asserted-by":"publisher","unstructured":"Chaudhary, S., Murala, S.: TSNet: deep network for human action recognition in hazy videos. In: 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 3981\u20133986 (2018). https:\/\/doi.org\/10.1109\/SMC.2018.00675","DOI":"10.1109\/SMC.2018.00675"},{"key":"7_CR35","doi-asserted-by":"publisher","first-page":"2735","DOI":"10.1109\/TIFS.2019.2904413","volume":"14","author":"J Zeng","year":"2019","unstructured":"Zeng, J., Tan, S., Liu, G., Li, B., Huang, J.: WISERNet: wider separate then-reunion network for steganalysis of color images. IEEE Trans. Inf. Forensics Secur. 14, 2735\u20132748 (2019)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"issue":"11","key":"7_CR36","doi-asserted-by":"publisher","first-page":"4066","DOI":"10.1109\/TITS.2018.2880096","volume":"20","author":"PW Patil","year":"2018","unstructured":"Patil, P.W., Murala, S.: MSFgNet: a novel compact end-to-end deep network for moving object detection. IEEE Trans. Intell. Transp. Syst. 20(11), 4066\u20134077 (2018)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"7_CR37","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"649","DOI":"10.1007\/978-3-319-46487-9_40","volume-title":"Computer Vision \u2013 ECCV 2016","author":"R Zhang","year":"2016","unstructured":"Zhang, R., Isola, P., Efros, A.A.: Colorful image colorization. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9907, pp. 649\u2013666. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46487-9_40"},{"key":"7_CR38","doi-asserted-by":"crossref","unstructured":"Zhuo, L., Tan, S., Zeng, J., Lit, B.: Fake colorized image detection with channel-wise convolution based deep-learning framework. In: 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), pp. 733\u2013736. IEEE (2018)","DOI":"10.23919\/APSIPA.2018.8659761"},{"key":"7_CR39","doi-asserted-by":"publisher","first-page":"1873","DOI":"10.1109\/LSP.2021.3109774","volume":"28","author":"SS Phutke","year":"2021","unstructured":"Phutke, S.S., Murala, S.: Diverse receptive field based adversarial concurrent encoder network for image inpainting. IEEE Sig. Process. Lett. 28, 1873\u20131877 (2021)","journal-title":"IEEE Sig. Process. Lett."},{"key":"7_CR40","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1016\/j.patrec.2021.08.011","volume":"151","author":"N Mehta","year":"2021","unstructured":"Mehta, N., Murala, S.: MSAR-Net: multi-scale attention based light-weight image super-resolution. Pattern Recogn. Lett. 151, 215\u2013221 (2021)","journal-title":"Pattern Recogn. Lett."}],"container-title":["Communications in Computer and Information Science","Computer Vision and Image Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-11349-9_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,23]],"date-time":"2022-07-23T17:07:43Z","timestamp":1658596063000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-11349-9_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031113482","9783031113499"],"references-count":40,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-11349-9_7","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"24 July 2022","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":"Rupnagar","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":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 December 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 December 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"cvip2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iitrpr.cvip2021.com\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"260","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":"77","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":"20","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":"30% - 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":"4","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)"}}]}}