{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,23]],"date-time":"2025-12-23T10:42:40Z","timestamp":1766486560869,"version":"3.37.3"},"reference-count":21,"publisher":"Springer Science and Business Media LLC","issue":"30","license":[{"start":{"date-parts":[[2022,5,31]],"date-time":"2022-05-31T00:00:00Z","timestamp":1653955200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,5,31]],"date-time":"2022-05-31T00:00:00Z","timestamp":1653955200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["31200496"],"award-info":[{"award-number":["31200496"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2022,12]]},"DOI":"10.1007\/s11042-022-13247-7","type":"journal-article","created":{"date-parts":[[2022,5,31]],"date-time":"2022-05-31T10:02:47Z","timestamp":1653991367000},"page":"44045-44058","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Mixed noise reduction via sparse error constraint representation of high frequency image for wildlife image"],"prefix":"10.1007","volume":"81","author":[{"given":"Yuan","family":"Xu","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6144-8915","authenticated-orcid":false,"given":"Yaqin","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Peng","family":"Lu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,5,31]]},"reference":[{"issue":"10","key":"13247_CR1","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1007\/s10916-018-1057-8","volume":"42","author":"PR Chanu","year":"2018","unstructured":"Chanu PR, Singh KM (2018) Impulse noise removal from medical images by two stage quaternion vector median filter[J]. J Med Syst 42(10):197\u2013203","journal-title":"J Med Syst"},{"key":"13247_CR2","unstructured":"Chen K, Franko K, Sang R (2021) Structured Model Pruning of Convolutional Networks on Tensor Processing Units [C]. International Conference on Machine Learning 2021 Workshop on Overparameterization: Pitfalls & Opportunities"},{"issue":"8","key":"13247_CR3","doi-asserted-by":"publisher","first-page":"2080","DOI":"10.1109\/TIP.2007.901238","volume":"16","author":"K Dabov","year":"2007","unstructured":"Dabov K, Foi A, Katkovnik V, Egiazarian K (2007) Image Denoising by sparse 3-D transform-domain collaborative filtering [J]. IEEE Trans Image Process 16(8):2080\u20132095","journal-title":"IEEE Trans Image Process"},{"issue":"1","key":"13247_CR4","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s13640-015-0097-y","volume":"2016","author":"I Djurovi","year":"2016","unstructured":"Djurovi I (2016) BM3D filter in salt-and-pepper noise removal [J]. EURASIP J Image Video Process 2016(1):1\u201311","journal-title":"EURASIP J Image Video Process"},{"key":"13247_CR5","first-page":"4018005","volume":"19","author":"AB Gibran","year":"2021","unstructured":"Gibran AB, Volodymyr P, Rogelio RR (2021) Clustering-based 3-D-MAP Despeckling of SAR images using sparse wavelet representation[J]. IEEE Geosci Remote Sens Lett 19:4018005\u20134018005","journal-title":"IEEE Geosci Remote Sens Lett"},{"key":"13247_CR6","unstructured":"Griffith DA (2003) Spatial autocorrelation and spatial filtering: gaining understanding through theory and scientific visualization [J]. Journal of Regionalence 44(3):633\u2013635"},{"key":"13247_CR7","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1016\/j.neucom.2019.10.054","volume":"377","author":"J Guan","year":"2020","unstructured":"Guan J, Lai R, Xiong A et al (2020) Fixed pattern noise reduction for infrared images based on cascade residual attention CNN[J]. Neurocomputing 377:301\u2013313","journal-title":"Neurocomputing"},{"issue":"1","key":"13247_CR8","first-page":"459","volume":"146","author":"B J\u00e9r\u00f4me","year":"2014","unstructured":"J\u00e9r\u00f4me B, Shoham S, Marc T (2014) Proximal alternating linearized minimization for nonconvex and nonsmooth problems[J]. Math Program: Series A 146(1):459\u2013494","journal-title":"Math Program: Series A"},{"issue":"1","key":"13247_CR9","doi-asserted-by":"publisher","first-page":"689","DOI":"10.1007\/s11042-016-4298-x","volume":"77","author":"T Lei","year":"2018","unstructured":"Lei T, Zhang Y, Wang Y et al (2018) Adaptive Unsymmetrical Trim-Based Morphological Filter for High-Density Impulse Noise Removal [J]. Multimed Tools Appl [J] 77(1):689\u2013711","journal-title":"Multimed Tools Appl [J]"},{"issue":"10","key":"13247_CR10","doi-asserted-by":"publisher","first-page":"1287","DOI":"10.1016\/j.patrec.2012.03.025","volume":"33","author":"C Lu","year":"2012","unstructured":"Lu C, Chou T (2012) Denoising of salt-and-pepper noise corrupted image using modified directional weighted median filter [J]. Pattern Recogn Lett 33(10):1287\u20131295","journal-title":"Pattern Recogn Lett"},{"issue":"1","key":"13247_CR11","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1109\/TIP.2007.911828","volume":"17","author":"J Mairal","year":"2008","unstructured":"Mairal J, Elad M, Sapiro G (2008) Sparse representation for color image restoration. IEEE Trans Image Process 17(1):53\u201369","journal-title":"IEEE Trans Image Process"},{"key":"13247_CR12","doi-asserted-by":"crossref","unstructured":"Meng Q, Li D, Chen S (2020) Sparse representation and reconstruction of image based on K-SVD dictionary learning[C]. 2020 International Conference on Intelligent Computing, Automation and Systems (ICICAS). pp. 457\u2013462","DOI":"10.1109\/ICICAS51530.2020.00100"},{"issue":"10","key":"13247_CR13","doi-asserted-by":"publisher","first-page":"2875","DOI":"10.1109\/TCYB.2017.2751585","volume":"48","author":"H Pan","year":"2018","unstructured":"Pan H, Jing Z, Qiao L, Li M (2018) Discriminative structured dictionary learning on Grassmann manifolds and its application on image restoration[J]. IEEE Trans Cybern 48(10):2875\u20132885","journal-title":"IEEE Trans Cybern"},{"issue":"2","key":"13247_CR14","doi-asserted-by":"publisher","first-page":"2150017","DOI":"10.1142\/S0219467821500170","volume":"21","author":"B Sumit","year":"2021","unstructured":"Sumit B, Iftisam R, Sunil A, Balwinder SS (2021) Infrared and visible image fusion based on sparse representation and spatial frequency in DTCWT domain[J]. Int J Image Graph 21(2):2150017","journal-title":"Int J Image Graph"},{"issue":"4","key":"13247_CR15","doi-asserted-by":"publisher","first-page":"2249","DOI":"10.1002\/ima.22592","volume":"31","author":"SD Sunderlin","year":"2021","unstructured":"Sunderlin SD, Suja PS (2021) Multimodal medical image fusion using L0 gradient smoothing with sparse representation[J]. Int J Imaging Syst Technol 31(4):2249\u20132266","journal-title":"Int J Imaging Syst Technol"},{"issue":"2","key":"13247_CR16","first-page":"95","volume":"35","author":"D Wei","year":"2016","unstructured":"Wei D, Zhou J (2016) Application of K-SVD and OMP algorithm on ultrasonic signal denoising [J]. J Appl Acoust 35(2):95\u2013100","journal-title":"J Appl Acoust"},{"issue":"6","key":"13247_CR17","doi-asserted-by":"publisher","first-page":"1031","DOI":"10.1109\/JPROC.2010.2044470","volume":"98","author":"J Wright","year":"2010","unstructured":"Wright J, Ma Y, Mairal J, Sapiro G (2010) Sparse representation for computer vision and pattern recognition[J]. Proc IEEE 98(6):1031\u20131044","journal-title":"Proc IEEE"},{"key":"13247_CR18","doi-asserted-by":"publisher","first-page":"1635","DOI":"10.1109\/LSP.2020.3023299","volume":"27","author":"T Wu","year":"2020","unstructured":"Wu T, Li W, Dong S et al (2020) Deep multi-level wavelet-CNN denoiser prior for restoring blurred image with cauchy noise [J]. IEEE Signal Processing Lett 27:1635\u20131639","journal-title":"IEEE Signal Processing Lett"},{"issue":"3","key":"13247_CR19","first-page":"500","volume":"14","author":"J Xu","year":"2019","unstructured":"Xu J, Wang N, Wang Y, Xu Z (2019) Non-convex weighted-Lp-norm sparse-error constraint for image denoising[J]. CAAI Trans Intell Syst 14(3):500\u2013507","journal-title":"CAAI Trans Intell Syst"},{"key":"13247_CR20","doi-asserted-by":"crossref","unstructured":"Yu G, Sapiro G, Mallat E (2010) Image modeling and enhancement via structured sparse model selection[C]. Proceedings of 2010 IEEE 17th International Conference on Image Processing (ICIP 2010). 1641\u20131644","DOI":"10.1109\/ICIP.2010.5653853"},{"issue":"20","key":"13247_CR21","first-page":"1","volume":"13","author":"L Zhuang","year":"2021","unstructured":"Zhuang L, Ng MK, Fu X (2021) Hyperspectral image mixed noise removal using subspace representation and deep CNN image prior [J]. Remoting Sensing 13(20):1\u201316","journal-title":"Remoting Sensing"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-022-13247-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-022-13247-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-022-13247-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,28]],"date-time":"2022-11-28T04:47:01Z","timestamp":1669610821000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-022-13247-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,31]]},"references-count":21,"journal-issue":{"issue":"30","published-print":{"date-parts":[[2022,12]]}},"alternative-id":["13247"],"URL":"https:\/\/doi.org\/10.1007\/s11042-022-13247-7","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"type":"print","value":"1380-7501"},{"type":"electronic","value":"1573-7721"}],"subject":[],"published":{"date-parts":[[2022,5,31]]},"assertion":[{"value":"8 February 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 February 2022","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 May 2022","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"31 May 2022","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}