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The algorithm is called st\u2010CAF and one of its key aspects is that the resulting cellular automata contemplate a spatio\u2010temporal neighbourhood when processing each pixel of the sequence. Additionally, the way the rule sets for the cellular automata are obtained, through evolutionary means, is also relevant, as it allows a good adaptation to any type of image and noise through the appropriate training set. This results in a great advantage over more traditional single frame denoising techniques presented in the literature or even over their adaptation to sequences. A fact that is made relevant in this paper through the application of the algorithm to different types of noisy images and its comparison to other techniques.<\/jats:p>","DOI":"10.1111\/exsy.12235","type":"journal-article","created":{"date-parts":[[2017,9,6]],"date-time":"2017-09-06T06:48:35Z","timestamp":1504680515000},"source":"Crossref","is-referenced-by-count":2,"title":["A cellular automata\u2010based filtering approach to multi\u2010temporal image denoising"],"prefix":"10.1111","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1609-0429","authenticated-orcid":false,"given":"Blanca","family":"Priego","sequence":"first","affiliation":[{"name":"Integrated Group for Engineering Research Universidade da Coru\u00f1a  A Coru\u00f1a Spain"}]},{"given":"Abraham","family":"Prieto","sequence":"additional","affiliation":[{"name":"Integrated Group for Engineering Research Universidade da Coru\u00f1a  A Coru\u00f1a Spain"}]},{"given":"Richard J.","family":"Duro","sequence":"additional","affiliation":[{"name":"Integrated Group for Engineering Research Universidade da Coru\u00f1a  A Coru\u00f1a Spain"}]},{"given":"Jocelyn","family":"Chanussot","sequence":"additional","affiliation":[{"name":"GIPSA\u2010Lab Grenoble Institute of Technology  Grenoble France"}]}],"member":"311","published-online":{"date-parts":[[2017,9,6]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2006.881199"},{"key":"e_1_2_9_3_1","doi-asserted-by":"crossref","unstructured":"Amiot C. 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