{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,7]],"date-time":"2025-12-07T21:11:38Z","timestamp":1765141898010,"version":"build-2065373602"},"reference-count":24,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2018,4,11]],"date-time":"2018-04-11T00:00:00Z","timestamp":1523404800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Natural Science Foundation of China (NSFC)","award":["91438203","31727901"],"award-info":[{"award-number":["91438203","31727901"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The problem of stripe non-uniformity in array-based infrared imaging systems has been the focus of many research studies. Among the proposed correction techniques, total variation models have been proven to significantly reduce the effect of this type of noise on the captured image. However, they also cause the loss of some image details and textures due to over-smoothing effect. In this paper, a correction scheme is proposed based on unidirectional variation model to exploit the direction characteristic of the stripe noise, in which an edge-aware weighting is incorporated to convey image structure retaining ability to the overall algorithm. Moreover, a statistical-based regularization is also introduced to further enhance correction performance around strong edges. The proposed approach is thoroughly scrutinized and compared to the state-of-the-art de-striping techniques using real stripe non-uniform images. Results demonstrate a significant improvement in edge preservation with better correction performance.<\/jats:p>","DOI":"10.3390\/s18041164","type":"journal-article","created":{"date-parts":[[2018,4,11]],"date-time":"2018-04-11T12:16:50Z","timestamp":1523449010000},"page":"1164","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":26,"title":["Edge-Aware Unidirectional Total Variation Model for Stripe Non-Uniformity Correction"],"prefix":"10.3390","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5185-5154","authenticated-orcid":false,"given":"Ayoub","family":"Boutemedjet","sequence":"first","affiliation":[{"name":"School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3747-5128","authenticated-orcid":false,"given":"Chenwei","family":"Deng","sequence":"additional","affiliation":[{"name":"School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China"}]},{"given":"Baojun","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China"}]}],"member":"1968","published-online":{"date-parts":[[2018,4,11]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1854","DOI":"10.1117\/12.145601","article-title":"Linear theory of nonuniformity correction in infrared staring sensors","volume":"32","author":"Perry","year":"1993","journal-title":"Opt. Eng."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"763","DOI":"10.1016\/1350-4495(94)00002-3","article-title":"Nonuniformity correction and correctability of infrared focal plane arrays","volume":"36","author":"Schulz","year":"1995","journal-title":"Infrared Phys. Technol."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1148","DOI":"10.1109\/83.777098","article-title":"Nonuniformity correction of infrared image sequences using the constant-statistics constraint","volume":"8","author":"Harris","year":"1999","journal-title":"IEEE Trans. Image Process."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1241","DOI":"10.1364\/AO.39.001241","article-title":"Scene-based nonuniformity correction with video sequences and registration","volume":"39","author":"Hardie","year":"2000","journal-title":"Appl. Opt."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1164","DOI":"10.1364\/JOSAA.28.001164","article-title":"Scene-based nonuniformity correction algorithm based on interframe registration","volume":"28","author":"Zuo","year":"2011","journal-title":"JOSA A"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"2176","DOI":"10.1109\/TCSVT.2015.2493443","article-title":"Effective Strip Noise Removal for Low-Textured Infrared Images Based on 1-D Guided Filtering","volume":"26","author":"Cao","year":"2016","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"134","DOI":"10.5201\/ipol.2012.glmt-mire","article-title":"Non-uniformity correction of infrared images by midway equalization","volume":"2","author":"Tendero","year":"2012","journal-title":"Image Process. Line"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"236","DOI":"10.1016\/j.optcom.2014.10.041","article-title":"Strip non-uniformity correction in uncooled long-wave infrared focal plane array based on noise source characterization","volume":"339","author":"Cao","year":"2015","journal-title":"Opt. Commun."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"7018","DOI":"10.1109\/TGRS.2016.2594080","article-title":"Remote sensing image stripe noise removal: From image decomposition perspective","volume":"54","author":"Chang","year":"2016","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"3049","DOI":"10.1109\/TGRS.2015.2510418","article-title":"Stripe noise separation and removal in remote sensing images by consideration of the global sparsity and local variational properties","volume":"54","author":"Liu","year":"2016","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"8567","DOI":"10.1364\/OE.17.008567","article-title":"Stripe and ring artifact removal with combined wavelet\u2014Fourier filtering","volume":"17","author":"Trtik","year":"2009","journal-title":"Opt. Express"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/JPHOT.2017.2717948","article-title":"Single infrared image stripe noise removal using deep convolutional networks","volume":"9","author":"Kuang","year":"2017","journal-title":"IEEE Photonics J."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1016\/j.optcom.2013.01.038","article-title":"Single image stripe nonuniformity correction with gradient-constrained optimization model for infrared focal plane arrays","volume":"296","author":"Zhao","year":"2013","journal-title":"Opt. Commun."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"23307","DOI":"10.1364\/OE.21.023307","article-title":"Robust destriping method with unidirectional total variation and framelet regularization","volume":"21","author":"Chang","year":"2013","journal-title":"Opt. Express"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1016\/j.infrared.2015.12.030","article-title":"Iteratively reweighted unidirectional variational model for stripe non-uniformity correction","volume":"75","author":"Huang","year":"2016","journal-title":"Infrared Phys. Technol."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1016\/0167-2789(92)90242-F","article-title":"Nonlinear total variation based noise removal algorithms","volume":"60","author":"Rudin","year":"1992","journal-title":"Phys. D Nonlinear Phenom."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"323","DOI":"10.1137\/080725891","article-title":"The Split Bregman Method for L1-Regularized Problems","volume":"2","author":"Goldstein","year":"2009","journal-title":"SIAM J. Imaging Sci."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1002\/cpa.20303","article-title":"Iteratively reweighted least squares minimization for sparse recovery","volume":"63","author":"Daubechies","year":"2010","journal-title":"Commun. Pure Appl. Math."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Hua, M., Bie, X., Zhang, M., and Wang, W. (2014, January 23\u201328). Edge-aware gradient domain optimization framework for image filtering by local propagation. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Columbus, OH, USA.","DOI":"10.1109\/CVPR.2014.363"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"4528","DOI":"10.1109\/TIP.2015.2468183","article-title":"Gradient domain guided image filtering","volume":"24","author":"Kou","year":"2015","journal-title":"IEEE Trans. Image Process."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1397","DOI":"10.1109\/TPAMI.2012.213","article-title":"Guided image filtering","volume":"35","author":"He","year":"2013","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_22","unstructured":"Tomasi, C., and Manduchi, R. (1998, January 7). Bilateral filtering for gray and color images. Proceedings of the Sixth International Conference on Computer Vision, Bombay, India."},{"key":"ref_23","unstructured":"Portmann, J., Lynen, S., Chli, M., and Siegwart, R. (June, January 31). People Detection and Tracking from Aerial Thermal Views. Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Hong Kong, China."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"2080","DOI":"10.1109\/TIP.2007.901238","article-title":"Image denoising by sparse 3-D transform-domain collaborative filtering","volume":"16","author":"Dabov","year":"2007","journal-title":"IEEE Trans. Image Process."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/18\/4\/1164\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T15:00:18Z","timestamp":1760194818000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/18\/4\/1164"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,4,11]]},"references-count":24,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2018,4]]}},"alternative-id":["s18041164"],"URL":"https:\/\/doi.org\/10.3390\/s18041164","relation":{},"ISSN":["1424-8220"],"issn-type":[{"type":"electronic","value":"1424-8220"}],"subject":[],"published":{"date-parts":[[2018,4,11]]}}}