{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T03:58:18Z","timestamp":1760241498167,"version":"build-2065373602"},"reference-count":27,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2018,4,18]],"date-time":"2018-04-18T00:00:00Z","timestamp":1524009600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>To solve the issue that it is difficult to maintain the consistency of linear structures when filling large regions by the exemplar-based technique, a hierarchical guidance strategy and exemplar-based image inpainting technique is proposed. The inpainting process is as follows: (i) the multi-layer resolution images are firstly acquired through decomposing of the pyramid on the target image; (ii) the top-layer inpainted image, the beginning of the inpainting from the top layer, is generated by the exemplar-based technique; (iii) there is a combined result between the next layer of the top image and the up-sampling output on the top-layer inpainted image, and the target regions are filled with information as guidance data; (iv) this process is repeated until the inpainting of all layers have been completed. Our results were compared to those obtained by existing techniques, and our proposed technique maintained the consistency of linear structures in a visually plausible way. Objectively, we choose SSIM (structural similarity index measurement) and PSNR (peak signal-to-noise ratio) as the measurement indices. Since the values of SSIM are well reflected when compared with other techniques, our technique clearly demonstrated that our approach is better able to maintain the consistency of linear structures. The core of our algorithm is to fill large regions whether they are synthesis images or real-scene photographs. It is easy to apply in practice, with the goal of having plausible inpainted image.<\/jats:p>","DOI":"10.3390\/info9040096","type":"journal-article","created":{"date-parts":[[2018,4,19]],"date-time":"2018-04-19T10:12:01Z","timestamp":1524132721000},"page":"96","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Hierarchical Guidance Strategy and Exemplar-Based Image Inpainting"],"prefix":"10.3390","volume":"9","author":[{"given":"Huaming","family":"Liu","sequence":"first","affiliation":[{"name":"College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China"},{"name":"School of Computer and Information Engineering, Fuyang Normal University, Fuyang 236037, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guanming","family":"Lu","sequence":"additional","affiliation":[{"name":"College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China"},{"name":"Jiangsu Province Key Laboratory on Image Processing and Image Communication, Nanjing 210003, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuehui","family":"Bi","sequence":"additional","affiliation":[{"name":"College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China"},{"name":"School of Computer and Information Engineering, Fuyang Normal University, Fuyang 236037, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weilan","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Mathematics and Computer Science, Northwest Minzu University, Lanzhou 730030, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2018,4,18]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Bertalmio, M., Sapiro, G., Caselles, V., and Ballester, C. (2000, January 23\u201328). Image Inpainting. Proceedings of the 27th Annual Conference on Computer Graphics and Interactive Techniques, New Orleans, LA, USA.","DOI":"10.1145\/344779.344972"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1006\/jvci.2001.0487","article-title":"Nontexture inpainting by curvature-driven diffusions","volume":"12","author":"Chan","year":"2001","journal-title":"J. Vis. Commun. Image Represent."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"564","DOI":"10.1137\/S0036139901390088","article-title":"Euler\u2019s elastica and curvature-based inpainting","volume":"63","author":"Chan","year":"2003","journal-title":"Siam J. Appl. Math."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1019","DOI":"10.1137\/S0036139900368844","article-title":"Mathematical models for local nontexture inpaintings","volume":"62","author":"Shen","year":"2002","journal-title":"SIAM J. Appl. Math."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1200","DOI":"10.1109\/TIP.2004.833105","article-title":"Region filling and object removal by exemplar-based image inpainting","volume":"13","author":"Criminisi","year":"2004","journal-title":"IEEE Trans. Image Process."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1145\/882262.882267","article-title":"Fragment-based image completion","volume":"22","author":"Drori","year":"2003","journal-title":"ACM Trans. Graph. (TOG)"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"553","DOI":"10.1109\/TCE.2012.6227460","article-title":"Robust exemplar-based inpainting algorithm using region segmentation","volume":"58","author":"Lee","year":"2012","journal-title":"IEEE Trans. Consum. Electron."},{"key":"ref_8","first-page":"641","article-title":"Exemplar-based image inpainting using color distribution analysis","volume":"28","author":"Zhang","year":"2012","journal-title":"J. Inf. Sci. Eng."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1153","DOI":"10.1109\/TIP.2010.2042098","article-title":"Image Inpainting by Patch Propagation Using Patch Sparsity","volume":"19","author":"Xu","year":"2010","journal-title":"IEEE Trans. Image Process."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"882","DOI":"10.1109\/TIP.2003.815261","article-title":"Simultaneous structure and texture image inpainting","volume":"12","author":"Bertalmio","year":"2003","journal-title":"IEEE Trans. Image Process."},{"key":"ref_11","first-page":"85","article-title":"Hirarchical Digital Image Inpainting Using Wavelets","volume":"3","author":"Padmavathi","year":"2012","journal-title":"Signal Image Process"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"733","DOI":"10.1007\/s00371-007-0139-2","article-title":"Block-based image inpainting in the wavelet domain","volume":"23","author":"Jung","year":"2007","journal-title":"Vis. Comput."},{"key":"ref_13","unstructured":"Wang, F., Liang, D., Wang, N., Cheng, Z., and Tang, J. (2011, January 26\u201328). An new method for image inpainting using wavelets. Proceedings of the 2011 International Conference on Multimedia Technology, Hangzhou, China."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Burt, P.J., and Adelson, E.H. (1987). The Laplacian pyramid as a compact image code. Readings in Computer Vision, Elsevier.","DOI":"10.1016\/B978-0-08-051581-6.50065-9"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Farid, M.S., Khan, H., and Mahmood, A. (2010, January 24\u201328). Image inpainting based on pyramids. Proceedings of the 2010 IEEE 10th International Conference on Signal Processing (ICSP), Beijing, China.","DOI":"10.1109\/ICOSP.2010.5655758"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"3978","DOI":"10.1016\/j.ijleo.2015.07.168","article-title":"Exemplar based inpainting in a multi-scaled space","volume":"126","author":"Kim","year":"2015","journal-title":"Opt. Int. J. Light Electron Opt."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1699","DOI":"10.1109\/TIP.2012.2218828","article-title":"Exemplar-Based Image Inpainting Using Multiscale Graph Cuts","volume":"22","author":"Liu","year":"2013","journal-title":"IEEE Trans. Image Process."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"807","DOI":"10.1137\/100807247","article-title":"Alternating Direction Method for Image Inpainting in Wavelet Domains","volume":"4","author":"Chan","year":"2011","journal-title":"Siam J. Imaging Sci."},{"key":"ref_19","unstructured":"Xie, J., Xu, L., and Chen, E. (2012, January 3\u20136). Image denoising and inpainting with deep neural networks. Proceedings of the 25th International Conference on Neural Information Processing Systems, Lake Tahoe, NV, USA."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1007\/s00371-015-1190-z","article-title":"Blind inpainting using the fully convolutional neural network","volume":"33","author":"Cai","year":"2017","journal-title":"Vis. Comput."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"K\u00f6hler, R., Schuler, C., Sch\u00f6lkopf, B., and Harmeling, S. (2014, January 2\u20135). Mask-specific inpainting with deep neural networks. Proceedings of the German Conference on Pattern Recognition, Muenster, Germany.","DOI":"10.1007\/978-3-319-11752-2_43"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Pathak, D., Krahenbuhl, P., Donahue, J., Darrell, T., and Efros, A.A. (July, January 26). Context encoders: Feature learning by inpainting. Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, USA.","DOI":"10.1109\/CVPR.2016.278"},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Yang, C., Lu, X., Lin, Z., Shechtman, E., Wang, O., and Li, H. (2017, January 21\u201326). High-resolution image inpainting using multi-scale neural patch synthesis. Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, USA.","DOI":"10.1109\/CVPR.2017.434"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1145\/882262.882269","article-title":"Poisson image editing","volume":"22","author":"Gangnet","year":"2003","journal-title":"ACM Trans. Graph. (TOG)"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1080\/10867651.2004.10487596","article-title":"An image inpainting technique based on the fast marching method","volume":"9","author":"Telea","year":"2004","journal-title":"J. Graph. Tools"},{"key":"ref_26","first-page":"24","article-title":"PatchMatch: A randomized correspondence algorithm for structural image editing","volume":"28","author":"Barnes","year":"2009","journal-title":"ACM Trans. Graph.-TOG"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"147","DOI":"10.5201\/ipol.2012.g-tvi","article-title":"Total variation inpainting using split Bregman","volume":"2","author":"Getreuer","year":"2012","journal-title":"Image Process. Line"}],"container-title":["Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2078-2489\/9\/4\/96\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T15:01:15Z","timestamp":1760194875000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2078-2489\/9\/4\/96"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,4,18]]},"references-count":27,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2018,4]]}},"alternative-id":["info9040096"],"URL":"https:\/\/doi.org\/10.3390\/info9040096","relation":{},"ISSN":["2078-2489"],"issn-type":[{"type":"electronic","value":"2078-2489"}],"subject":[],"published":{"date-parts":[[2018,4,18]]}}}