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Our new method is very fast for image denoising, and it can deal with spatially varying noise levels, which can happen in real-life images. Experiments demonstrate the success of our new method for reducing both spatially varying noise and uniform noise from noisy images.<\/jats:p>","DOI":"10.1142\/s0219691326500025","type":"journal-article","created":{"date-parts":[[2026,1,16]],"date-time":"2026-01-16T03:18:39Z","timestamp":1768533519000},"source":"Crossref","is-referenced-by-count":0,"title":["Adaptive bivariate wavelet shrinkage for image denoising with spatially varying noise"],"prefix":"10.1142","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4811-2402","authenticated-orcid":false,"given":"Guang Yi","family":"Chen","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, H3G 1M8, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2924-6659","authenticated-orcid":false,"given":"M. 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