{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,18]],"date-time":"2026-02-18T23:22:12Z","timestamp":1771456932972,"version":"3.50.1"},"reference-count":20,"publisher":"Wiley","license":[{"start":{"date-parts":[[2020,4,1]],"date-time":"2020-04-01T00:00:00Z","timestamp":1585699200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Science Foundation for Youth Teacher of Fujian Educational Committee","award":["2016JAT160695"],"award-info":[{"award-number":["2016JAT160695"]}]},{"name":"Science Foundation for Youth Teacher of Fujian Educational Committee","award":["2018JT180872"],"award-info":[{"award-number":["2018JT180872"]}]},{"name":"Science Foundation for Youth Teacher of Fujian Educational Committee","award":["2016JAT160695"],"award-info":[{"award-number":["2016JAT160695"]}]},{"name":"Science Foundation for Youth Teacher of Fujian Educational Committee","award":["2018JT180872"],"award-info":[{"award-number":["2018JT180872"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computational and Mathematical Methods in Medicine"],"published-print":{"date-parts":[[2020,4,1]]},"abstract":"<jats:p>Magnetic resonance (MR) images are often contaminated by Gaussian noise, an electronic noise caused by the random thermal motion of electronic components, which reduces the quality and reliability of the images. This paper puts forward a hybrid denoising algorithm for MR images based on two sparsely represented morphological components and one residual part. To begin with, decompose a noisy MR image into the cartoon, texture, and residual parts by MCA, and then each part is denoised by using Wiener filter, wavelet hard threshold, and wavelet soft threshold, respectively. Finally, stack up all the denoised subimages to obtain the denoised MR image. The experimental results show that the proposed method has significantly better performance in terms of mean square error and peak signal-to-noise ratio than each method alone.<\/jats:p>","DOI":"10.1155\/2020\/1405647","type":"journal-article","created":{"date-parts":[[2020,4,1]],"date-time":"2020-04-01T23:30:38Z","timestamp":1585783838000},"page":"1-10","source":"Crossref","is-referenced-by-count":28,"title":["Magnetic Resonance Image Denoising Algorithm Based on Cartoon, Texture, and Residual Parts"],"prefix":"10.1155","volume":"2020","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4069-6957","authenticated-orcid":true,"given":"Yanqiu","family":"Zeng","sequence":"first","affiliation":[{"name":"Chengyi University College, Jimei University, Xiamen, China"}]},{"given":"Baocan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Chengyi University College, Jimei University, Xiamen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6814-1526","authenticated-orcid":true,"given":"Wei","family":"Zhao","sequence":"additional","affiliation":[{"name":"Chengyi University College, Jimei University, Xiamen, China"}]},{"given":"Shixiao","family":"Xiao","sequence":"additional","affiliation":[{"name":"Chengyi University College, Jimei University, Xiamen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0952-8325","authenticated-orcid":true,"given":"Guokai","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Software Engineering, Tongji University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2460-2845","authenticated-orcid":true,"given":"Haiping","family":"Ren","sequence":"additional","affiliation":[{"name":"Jiangxi University of Science and Technology, Nanchang, China"}]},{"given":"Wenbing","family":"Zhao","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering and Computer Science, Cleveland State University, Cleveland, OH 44115, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5508-1819","authenticated-orcid":true,"given":"Yonghong","family":"Peng","sequence":"additional","affiliation":[{"name":"Faculty of Computer Science, University of Sunderland, Sunderland, UK"}]},{"given":"Yutian","family":"Xiao","sequence":"additional","affiliation":[{"name":"School of Informatics, Xiamen University, Xiamen, China"}]},{"given":"Yiwen","family":"Lu","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Tongji University, Shanghai, China"}]},{"given":"Yongshuo","family":"Zong","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Tongji University, Shanghai, China"}]},{"given":"Yimin","family":"Ding","sequence":"additional","affiliation":[{"name":"College of Electronics and Information Engineering, Tongji University, Shanghai, China"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1007\/s11554-015-0559-6"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2018.11.008"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2019.09.003"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2018.12.006"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1109\/tsa.2005.860851"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.2478\/msr-2013-0027"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/81.3.425"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1109\/18.382009"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2019.00039"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1016\/j.proeng.2011.08.749"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2015.12.006"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1109\/access.2018.2839694"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.1109\/tip.2005.852206"},{"key":"18","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/5712594"},{"key":"20","year":"2017"},{"key":"21","year":"2000"},{"key":"22","doi-asserted-by":"publisher","DOI":"10.1109\/lsp.2003.818225"},{"key":"23","year":"2002"},{"key":"24","first-page":"33","volume":"20","year":"1999","journal-title":"SIAM Journal on Scientific Computing"},{"key":"25","doi-asserted-by":"publisher","DOI":"10.1049\/el:20050103"}],"container-title":["Computational and Mathematical Methods in Medicine"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/cmmm\/2020\/1405647.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cmmm\/2020\/1405647.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cmmm\/2020\/1405647.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,4,1]],"date-time":"2020-04-01T23:30:43Z","timestamp":1585783843000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/cmmm\/2020\/1405647\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,4,1]]},"references-count":20,"alternative-id":["1405647","1405647"],"URL":"https:\/\/doi.org\/10.1155\/2020\/1405647","relation":{},"ISSN":["1748-670X","1748-6718"],"issn-type":[{"value":"1748-670X","type":"print"},{"value":"1748-6718","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,4,1]]}}}