{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:41:01Z","timestamp":1750308061654,"version":"3.41.0"},"reference-count":20,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2017,5,13]],"date-time":"2017-05-13T00:00:00Z","timestamp":1494633600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SIViP"],"published-print":{"date-parts":[[2017,11]]},"DOI":"10.1007\/s11760-017-1113-8","type":"journal-article","created":{"date-parts":[[2017,5,13]],"date-time":"2017-05-13T15:52:27Z","timestamp":1494690747000},"page":"1501-1508","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Image denoising via correlation-based sparse representation"],"prefix":"10.1007","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6173-3353","authenticated-orcid":false,"given":"Gulsher","family":"Baloch","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huseyin","family":"Ozkaramanli","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,5,13]]},"reference":[{"issue":"12","key":"1113_CR1","doi-asserted-by":"crossref","first-page":"3736","DOI":"10.1109\/TIP.2006.881969","volume":"15","author":"M Elad","year":"2006","unstructured":"Elad, M., Aharon, M.: Image denoising via sparse and redundant representations over learned dictionaries. Image Process. IEEE Trans. 15(12), 3736\u20133745 (2006)","journal-title":"Image Process. IEEE Trans."},{"issue":"11","key":"1113_CR2","doi-asserted-by":"crossref","first-page":"4311","DOI":"10.1109\/TSP.2006.881199","volume":"54","author":"M Aharon","year":"2006","unstructured":"Aharon, M., Elad, M., Bruckstein, A.: K-SVD: an algorithm for designing overcomplete dictionaries for sparse representation. IEEE Trans. Signal Process. 54(11), 4311\u20134322 (2006)","journal-title":"IEEE Trans. Signal Process."},{"key":"1113_CR3","doi-asserted-by":"crossref","unstructured":"Dabov, K., Foi, A., Katkovnik, V., Egiazarian, K.: Image denoising with block-matching and 3d filtering, In: Electronic Imaging 2006. International Society for Optics and Photonics, pp. 606 414\u2013606 414 (2006)","DOI":"10.1117\/12.643267"},{"issue":"6","key":"1113_CR4","doi-asserted-by":"crossref","first-page":"1967","DOI":"10.1109\/TIP.2015.2412373","volume":"24","author":"H Yue","year":"2015","unstructured":"Yue, H., Sun, X., Yang, J., Wu, F.: Image denoising by exploring external and internal correlations. Image Process. IEEE Trans. 24(6), 1967\u20131982 (2015)","journal-title":"Image Process. IEEE Trans."},{"issue":"1","key":"1113_CR5","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1016\/j.sigpro.2011.06.014","volume":"92","author":"Y He","year":"2012","unstructured":"He, Y., Gan, T., Chen, W., Wang, H.: Multi-stage image denoising based on correlation coefficient matching and sparse dictionary pruning. Signal Process. 92(1), 139\u2013149 (2012)","journal-title":"Signal Process."},{"key":"1113_CR6","unstructured":"Dabov, K., Foi, A., Katkovnik, V., Egiazarian, K.: Image denoising by sparse 3-d transform-domain collaborative filtering. Image Process. IEEE Trans. 16(8), 2080\u20132095 (2007)"},{"key":"1113_CR7","doi-asserted-by":"crossref","unstructured":"Brunet, D., Vrscay, E. R., Wang, Z.: The use of residuals in image denoising, In: International Conference Image Analysis and Recognition, pp. 1\u201312 (2009)","DOI":"10.1007\/978-3-642-02611-9_1"},{"key":"1113_CR8","doi-asserted-by":"publisher","unstructured":"Om, H., Biswas, M.: A generalized image denoising method using neighbouring wavelet coefficients, Signal Image Video Process. 9(1), 191\u2013200 (2015). doi: 10.1007\/s11760-013-0434-5","DOI":"10.1007\/s11760-013-0434-5"},{"issue":"6","key":"1113_CR9","doi-asserted-by":"crossref","first-page":"993","DOI":"10.1007\/s11760-015-0850-9","volume":"10","author":"N Cai","year":"2016","unstructured":"Cai, N., Zhou, Y., Wang, S., Ling, B.W.-K., Weng, S.: Image denoising via patch-based adaptive gaussian mixture prior method. Signal Image Video Process. 10(6), 993\u2013999 (2016)","journal-title":"Signal Image Video Process."},{"issue":"6","key":"1113_CR10","doi-asserted-by":"crossref","first-page":"1081","DOI":"10.1007\/s11760-016-0862-0","volume":"10","author":"HR Shahdoosti","year":"2016","unstructured":"Shahdoosti, H.R., Khayat, O.: Image denoising using sparse representation classification and non-subsampled shearlet transform. Signal Image Video Process. 10(6), 1081\u20131087 (2016)","journal-title":"Signal Image Video Process."},{"issue":"1","key":"1113_CR11","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1007\/s11760-014-0724-6","volume":"10","author":"M Sajjad","year":"2016","unstructured":"Sajjad, M., Mehmood, I., Abbas, N., Baik, S.W.: Basis pursuit denoising-based image superresolution using a redundant set of atoms. Signal Image Video Process. 10(1), 181\u2013188 (2016)","journal-title":"Signal Image Video Process."},{"issue":"8","key":"1113_CR12","doi-asserted-by":"crossref","first-page":"598","DOI":"10.1049\/iet-ipr.2015.0611","volume":"10","author":"S Gai","year":"2016","unstructured":"Gai, S., Wang, L., Yang, G., Yang, P.: Sparse representation based on vector extension of reduced quaternion matrix for multiscale image denoising. IET Image Process. 10(8), 598\u2013607 (2016)","journal-title":"IET Image Process."},{"key":"1113_CR13","doi-asserted-by":"crossref","unstructured":"Cheng, Y., Liu, Z.: Image denoising algorithm based on structure and texture part, In: Computational Intelligence and Security (CIS), 2016 12th International Conference on. IEEE, pp. 147\u2013151 (2016)","DOI":"10.1109\/CIS.2016.0042"},{"key":"1113_CR14","doi-asserted-by":"crossref","unstructured":"Zha, H., Li, N., Xue, Z., Man-zuo, Z., Hou, J.-q.: A new image denoising algorithm with multiscale products, In: Communication Problem-Solving (ICCP), 2015 IEEE International Conference on. IEEE, pp. 446\u2013449 (2015)","DOI":"10.1109\/ICCPS.2015.7454198"},{"issue":"6","key":"1113_CR15","doi-asserted-by":"crossref","first-page":"429","DOI":"10.1049\/iet-ipr.2015.0702","volume":"10","author":"A Gellert","year":"2016","unstructured":"Gellert, A., Brad, R.: Context-based prediction filtering of impulse noise images. IET Image Process. 10(6), 429\u2013437 (2016)","journal-title":"IET Image Process."},{"issue":"8","key":"1113_CR16","doi-asserted-by":"crossref","first-page":"709","DOI":"10.1049\/iet-ipr.2014.0979","volume":"9","author":"K \u00d6zkan","year":"2015","unstructured":"\u00d6zkan, K., Seke, E.: Image denoising using common vector approach. IET Image Process. 9(8), 709\u2013715 (2015)","journal-title":"IET Image Process."},{"issue":"6","key":"1113_CR17","doi-asserted-by":"crossref","first-page":"864","DOI":"10.1049\/iet-cvi.2014.0415","volume":"9","author":"J Yuan","year":"2015","unstructured":"Yuan, J.: Improved anisotropic diffusion equation based on new non-local information scheme for image denoising. IET Comput. Vis. 9(6), 864\u2013870 (2015)","journal-title":"IET Comput. Vis."},{"key":"1113_CR18","doi-asserted-by":"crossref","unstructured":"Zoran, D., Weiss, Y.: From learning models of natural image patches to whole image restoration, In: Computer Vision (ICCV), 2011 IEEE International Conference on. IEEE, pp. 479\u2013486 (2011)","DOI":"10.1109\/ICCV.2011.6126278"},{"issue":"4","key":"1113_CR19","doi-asserted-by":"crossref","first-page":"2121","DOI":"10.1109\/TSP.2010.2040671","volume":"58","author":"K Skretting","year":"2010","unstructured":"Skretting, K., Engan, K.: Recursive least squares dictionary learning algorithm. Signal Process. IEEE Trans. 58(4), 2121\u20132130 (2010)","journal-title":"Signal Process. IEEE Trans."},{"key":"1113_CR20","doi-asserted-by":"crossref","unstructured":"Mairal, J., Bach, F., Ponce, J., Sapiro, G.: Online dictionary learning for sparse coding, In: Proceedings of the 26th annual international conference on machine learning. ACM, pp. 689\u2013696 (2009)","DOI":"10.1145\/1553374.1553463"}],"container-title":["Signal, Image and Video Processing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11760-017-1113-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-017-1113-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-017-1113-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T15:32:18Z","timestamp":1750260738000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11760-017-1113-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,5,13]]},"references-count":20,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2017,11]]}},"alternative-id":["1113"],"URL":"https:\/\/doi.org\/10.1007\/s11760-017-1113-8","relation":{},"ISSN":["1863-1703","1863-1711"],"issn-type":[{"type":"print","value":"1863-1703"},{"type":"electronic","value":"1863-1711"}],"subject":[],"published":{"date-parts":[[2017,5,13]]}}}