{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T14:03:28Z","timestamp":1784210608889,"version":"3.55.0"},"reference-count":29,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2021,6,21]],"date-time":"2021-06-21T00:00:00Z","timestamp":1624233600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,6,21]],"date-time":"2021-06-21T00:00:00Z","timestamp":1624233600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"name":"the S&T Program of Heb","award":["F2020203037"],"award-info":[{"award-number":["F2020203037"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["No.61873224"],"award-info":[{"award-number":["No.61873224"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"the S&T Program of Heb","award":["F2019203031"],"award-info":[{"award-number":["F2019203031"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SIViP"],"published-print":{"date-parts":[[2022,2]]},"DOI":"10.1007\/s11760-021-01960-z","type":"journal-article","created":{"date-parts":[[2021,6,21]],"date-time":"2021-06-21T06:02:35Z","timestamp":1624255355000},"page":"83-91","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":36,"title":["Underwater image enhancement based on color-line model and homomorphic filtering"],"prefix":"10.1007","volume":"16","author":[{"given":"Haifeng","family":"Yu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinbin","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qian","family":"Lou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lei","family":"Yan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2021,6,21]]},"reference":[{"issue":"1","key":"1960_CR1","doi-asserted-by":"publisher","first-page":"379","DOI":"10.1109\/TIP.2017.2759252","volume":"27","author":"CO Ancuti","year":"2018","unstructured":"Ancuti, C.O., Ancuti, C., De Vleeschouwer, C., et al.: Color balance and fusion for underwater image enhancement. IEEE Trans. Image Process. 27(1), 379\u2013393 (2018)","journal-title":"IEEE Trans. Image Process."},{"key":"1960_CR2","doi-asserted-by":"publisher","first-page":"515","DOI":"10.1016\/j.optlastec.2018.07.057","volume":"108","author":"T Heng","year":"2018","unstructured":"Heng, T., Jingping, Z., Shuwen, T., et al.: Rapid underwater target enhancement method based on polarimetric imaging. Opt. Laser Technol. 108, 515\u2013520 (2018)","journal-title":"Opt. Laser Technol."},{"key":"1960_CR3","doi-asserted-by":"publisher","first-page":"224","DOI":"10.1016\/j.oceaneng.2018.05.027","volume":"162","author":"ASA Ghani","year":"2018","unstructured":"Ghani, A.S.A.: Image contrast enhancement using an integration of recursive-overlapped contrast limited adaptive histogram specification and dual-image wavelet fusion for the high visibility of deep underwater image. Ocean Eng. 162, 224\u2013238 (2018)","journal-title":"Ocean Eng."},{"key":"1960_CR4","doi-asserted-by":"crossref","unstructured":"Afifi, M., Price, B., Cohen, S., et al.: When color constancy goes wrong: correcting improperly white-balanced images. Comput. Vis. Pattern Recognit. pp. 1535\u20131544 (2019)","DOI":"10.1109\/CVPR.2019.00163"},{"key":"1960_CR5","doi-asserted-by":"crossref","unstructured":"Guraksin, G.E., Kose, U., Deperlioglu, O., et al.: Underwater image enhancement based on contrast adjustment via differential evolution algorithm. In: International Symposium on Innovations in Intelligent Systems and Applications, pp. 1\u20135 (2016)","DOI":"10.1109\/INISTA.2016.7571849"},{"key":"1960_CR6","doi-asserted-by":"crossref","unstructured":"Guraksin, G.E., Deperlioglu, O., Kose, U.: A novel underwater image enhancement approach with wavelet transform supported by differential evolution algorithm. In: Nature Inspired Optimization Techniques for Image Processing Applications (2019)","DOI":"10.1007\/978-3-319-96002-9_11"},{"issue":"1","key":"1960_CR7","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1108\/SR-07-2016-0120","volume":"37","author":"S Fekriershad","year":"2017","unstructured":"Fekriershad, S., Tajeripour, F.: Color texture classification based on proposed impulse-noise resistant color local binary patterns and significant points selection algorithm. Sens. Rev. 37(1), 33\u201342 (2017)","journal-title":"Sens. Rev."},{"issue":"20","key":"1960_CR8","doi-asserted-by":"publisher","first-page":"26545","DOI":"10.1007\/s11042-018-5878-8","volume":"77","author":"D Garg","year":"2018","unstructured":"Garg, D., Garg, N.K., Kumar, M.: Underwater image enhancement using blending of CLAHE and percentile methodologies. Multimedia Tools Appl. 77(20), 26545\u201326561 (2018)","journal-title":"Multimedia Tools Appl."},{"key":"1960_CR9","doi-asserted-by":"crossref","unstructured":"Iqbal, K., Odetayo, M.O., James, A., et al.: Enhancing the low quality images using unsupervised colour correction method. Syst. Man Cybern. pp. 1703\u20131709 (2010)","DOI":"10.1109\/ICSMC.2010.5642311"},{"issue":"12","key":"1960_CR10","doi-asserted-by":"publisher","first-page":"2341","DOI":"10.1109\/TPAMI.2010.168","volume":"33","author":"K He","year":"2011","unstructured":"He, K., Sun, J., et al.: Single image haze removal using dark channel prior. IEEE Trans. Pattern Anal. Mach. Intell. 33(12), 2341\u20132353 (2011)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"1960_CR11","doi-asserted-by":"crossref","unstructured":"Li, X., Yang, Z., Shang, M., et al.: Underwater image enhancement via dark channel prior and luminance adjustment. OCEANS 2016-Shanghai, Shanghai, 2016, pp. 1\u20135","DOI":"10.1109\/OCEANSAP.2016.7485625"},{"key":"1960_CR12","doi-asserted-by":"crossref","unstructured":"Galdran, A., Pardo, D., Picon, A., et al.: Automatic red-channel underwater image restoration. J. Vis. Commun. Image Represent. 132\u2013145 (2015)","DOI":"10.1016\/j.jvcir.2014.11.006"},{"issue":"4","key":"1960_CR13","doi-asserted-by":"publisher","first-page":"1756","DOI":"10.1109\/TIP.2011.2179666","volume":"21","author":"JY Chiang","year":"2012","unstructured":"Chiang, J.Y., Chen, Y.C.: Underwater image enhancement by wavelength compensation and dehazing. IEEE Trans. Image Process. 21(4), 1756\u20131769 (2012)","journal-title":"IEEE Trans. Image Process."},{"issue":"10","key":"1960_CR14","doi-asserted-by":"publisher","first-page":"2973","DOI":"10.1109\/TNNLS.2018.2862631","volume":"30","author":"R Liu","year":"2019","unstructured":"Liu, R., Fan, X., Hou, M., et al.: Learning aggregated transmission propagation networks for haze removal and beyond. IEEE Trans. Neural Netw. 30(10), 2973\u20132986 (2019)","journal-title":"IEEE Trans. Neural Netw."},{"key":"1960_CR15","doi-asserted-by":"crossref","unstructured":"Omer, I., Werman, M.: Color lines: image specific color representation. computer vision and pattern recognition, 946\u2013953 (2004)","DOI":"10.1109\/CVPR.2004.1315267"},{"issue":"3","key":"1960_CR16","doi-asserted-by":"publisher","first-page":"204","DOI":"10.1109\/TCI.2016.2575740","volume":"2","author":"S Ono","year":"2016","unstructured":"Ono, S., Yamada, I.: Color-line regularization for color artifact removal. IEEE Trans. Comput. Imaging 2(3), 204\u2013217 (2016)","journal-title":"IEEE Trans. Comput. Imaging"},{"issue":"3","key":"1960_CR17","doi-asserted-by":"publisher","first-page":"57","DOI":"10.5121\/ijma.2012.4305","volume":"4","author":"SF Ershad","year":"2012","unstructured":"Ershad, S.F., Saberi, M., Tajeripour, F., et al.: An innovative skin detection approach using color based image retrieval technique. Int. J. Multimedia Appl. 4(3), 57\u201365 (2012)","journal-title":"Int. J. Multimedia Appl."},{"issue":"2","key":"1960_CR18","first-page":"1561","volume":"5","author":"S Patil","year":"2019","unstructured":"Patil, S., Jadhav, C.: Survey on color lines model for eliminating specular reflection. Int. J. Adv. Res. Ideas Innov. Technol. 5(2), 1561\u20131563 (2019)","journal-title":"Int. J. Adv. Res. Ideas Innov. Technol."},{"key":"1960_CR19","doi-asserted-by":"crossref","unstructured":"Dehazing, F.R.: Color-lines, using. ACM Trans. Graph. 34(1), 13 (2014)","DOI":"10.1145\/2767002"},{"key":"1960_CR20","doi-asserted-by":"crossref","unstructured":"Sulami, M., Glatzer, I., Fattal, R., et al.: Automatic recovery of the atmospheric light in hazy images. Int. Conf. Comput. Photography, 1\u201311 (2014)","DOI":"10.1109\/ICCPHOT.2014.6831817"},{"issue":"3","key":"1960_CR21","doi-asserted-by":"publisher","first-page":"907","DOI":"10.1109\/TCSVT.2018.2884615","volume":"29","author":"Y Zhou","year":"2019","unstructured":"Zhou, Y., Wu, Q., Yan, K., et al.: Underwater image restoration using color-line model. IEEE Trans. Circuits Syst. Video Technol. 29(3), 907\u2013911 (2019)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"issue":"7","key":"1960_CR22","doi-asserted-by":"publisher","first-page":"1013","DOI":"10.1109\/TNNLS.2012.2197412","volume":"23","author":"Z Xu","year":"2012","unstructured":"Xu, Z., Chang, X., Xu, F., et al.: L-1\/2 regularization: a thresholding representation theory and a fast solver. IEEE Trans. Neural Netw. Learn. Syst. 23(7), 1013\u20131027 (2012)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"1960_CR23","doi-asserted-by":"crossref","unstructured":"Akkaynak, D., Treibitz, T.: Sea-Thru: a method for removing water from underwater images. In: Computer Vision and Pattern Recognition, pp. 1682\u20131691 (2019)","DOI":"10.1109\/CVPR.2019.00178"},{"key":"1960_CR24","unstructured":"Zhang, Z., Zhao, G.: Butterworth filter and Sobel edge detection to image. In: International Conference on Model Transformation, pp. 254\u2013256 (2011)"},{"issue":"12","key":"1960_CR25","doi-asserted-by":"publisher","first-page":"5664","DOI":"10.1109\/TIP.2016.2612882","volume":"25","author":"CY Li","year":"2016","unstructured":"Li, C.Y., Guo, J.C., Cong, R.M., et al.: Underwater image enhancement by dehazing with minimum information loss and histogram distribution prior. IEEE Trans. Image Process. 25(12), 5664\u20135677 (2016)","journal-title":"IEEE Trans. Image Process."},{"key":"1960_CR26","doi-asserted-by":"crossref","unstructured":"Bolte, J., Sabach, S., Teboulle, M.: Proximal alternating linearized minimization for nonconvex and nonsmooth problems. Math. Program. 146(1\u20132), 459\u2013494 (2014)","DOI":"10.1007\/s10107-013-0701-9"},{"issue":"4","key":"1960_CR27","doi-asserted-by":"publisher","first-page":"1579","DOI":"10.1109\/TIP.2017.2663846","volume":"26","author":"Y Peng","year":"2017","unstructured":"Peng, Y., Cosman, P.C.: Underwater image restoration based on image blurriness and light absorption. IEEE Trans. Image Process. 26(4), 1579\u20131594 (2017)","journal-title":"IEEE Trans. Image Process."},{"issue":"12","key":"1960_CR28","doi-asserted-by":"publisher","first-page":"6062","DOI":"10.1109\/TIP.2015.2491020","volume":"24","author":"M Yang","year":"2015","unstructured":"Yang, M., Sowmya, A.: An underwater color image quality evaluation metric. IEEE Trans. Image Process. 24(12), 6062\u20136071 (2015)","journal-title":"IEEE Trans. Image Process."},{"issue":"3","key":"1960_CR29","doi-asserted-by":"publisher","first-page":"541","DOI":"10.1109\/JOE.2015.2469915","volume":"41","author":"K Panetta","year":"2016","unstructured":"Panetta, K., Gao, C., Agaian, S.S., et al.: Human-visual-system-inspired underwater image quality measures. IEEE J. Oceanic Eng. 41(3), 541\u2013551 (2016)","journal-title":"IEEE J. Oceanic Eng."}],"container-title":["Signal, Image and Video Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-021-01960-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11760-021-01960-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-021-01960-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,2]],"date-time":"2024-09-02T06:06:17Z","timestamp":1725257177000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11760-021-01960-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6,21]]},"references-count":29,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2022,2]]}},"alternative-id":["1960"],"URL":"https:\/\/doi.org\/10.1007\/s11760-021-01960-z","relation":{},"ISSN":["1863-1703","1863-1711"],"issn-type":[{"value":"1863-1703","type":"print"},{"value":"1863-1711","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,6,21]]},"assertion":[{"value":"1 March 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 June 2021","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 June 2021","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 June 2021","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}