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This approach effectively reduces both uniform and spatially varying noise, as demonstrated through extensive experiments on six test images with five distinct noise patterns. The results, evaluated using peak signal-to-noise ratio (PSNR), show that our method outperforms existing denoising techniques, particularly in scenarios with spatially varying noise. This study not only advances the state-of-the-art in image denoising but also highlights the importance of adaptive noise estimation in real-world applications. <\/jats:p>","DOI":"10.1142\/s0218001425540072","type":"journal-article","created":{"date-parts":[[2025,4,24]],"date-time":"2025-04-24T03:57:57Z","timestamp":1745467077000},"source":"Crossref","is-referenced-by-count":2,"title":["Adaptive SURELET-Based Image Denoising in Wavelet Domain with Spatially Varying Noise"],"prefix":"10.1142","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4811-2402","authenticated-orcid":false,"given":"Guang Yi","family":"Chen","sequence":"first","affiliation":[{"name":"Department of Computer Science and Software Engineering, Concordia University, Montreal, QC Canada H3G 1M8"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9769-658X","authenticated-orcid":false,"given":"Yaser Esmaeili","family":"Salehani","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Software Engineering, Concordia University, Montreal, QC Canada H3G 1M8"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-8897-9156","authenticated-orcid":false,"given":"Sepehr","family":"Ghamari","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada H3G 1M8"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2025,5,19]]},"reference":[{"key":"S0218001425540072BIB001","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.38"},{"key":"S0218001425540072BIB002","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2006.04.039"},{"key":"S0218001425540072BIB003","doi-asserted-by":"publisher","DOI":"10.3233\/ICA-2005-12108"},{"key":"S0218001425540072BIB004","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2004.05.009"},{"key":"S0218001425540072BIB005","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2007.901238"},{"key":"S0218001425540072BIB006","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/81.3.425"},{"key":"S0218001425540072BIB007","doi-asserted-by":"publisher","DOI":"10.1109\/18.382009"},{"key":"S0218001425540072BIB008","doi-asserted-by":"publisher","DOI":"10.1007\/s00371-023-03106-3"},{"key":"S0218001425540072BIB009","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.366"},{"key":"S0218001425540072BIB010","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2023.3345667"},{"key":"S0218001425540072BIB011","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3104181"},{"key":"S0218001425540072BIB012","doi-asserted-by":"publisher","DOI":"10.1007\/s00371-023-03084-6"},{"key":"S0218001425540072BIB013","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2007.891064"},{"key":"S0218001425540072BIB014","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2002.806054"},{"key":"S0218001425540072BIB015","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2023.3312389"}],"container-title":["International Journal of Pattern Recognition and Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218001425540072","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,29]],"date-time":"2025-05-29T05:35:04Z","timestamp":1748496904000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/10.1142\/S0218001425540072"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,19]]},"references-count":15,"journal-issue":{"issue":"08","published-print":{"date-parts":[[2025,6,30]]}},"alternative-id":["10.1142\/S0218001425540072"],"URL":"https:\/\/doi.org\/10.1142\/s0218001425540072","relation":{},"ISSN":["0218-0014","1793-6381"],"issn-type":[{"value":"0218-0014","type":"print"},{"value":"1793-6381","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,5,19]]},"article-number":"2554007"}}