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Graph."],"published-print":{"date-parts":[[2009,12]]},"abstract":"<jats:p>This paper proposes an<jats:italic>interactive<\/jats:italic>approach using<jats:italic>joint image-noise filtering<\/jats:italic>for achieving high quality image-noise separation. The core of the system is our novel joint image-noise filter which operates in both image and noise domain, and can effectively separate noise from both high and low frequency image structures. A novel user interface is introduced, which allows the user to interact with both the image and the noise layer, and apply the filter adaptively and locally to achieve optimal results. A comprehensive and quantitative evaluation shows that our interactive system can significantly improve the initial image-noise separation results. Our system can also be deployed in various noise-consistent image editing tasks, where preserving the noise characteristics inherent in the input image is a desired feature.<\/jats:p>","DOI":"10.1145\/1618452.1618492","type":"journal-article","created":{"date-parts":[[2009,12,8]],"date-time":"2009-12-08T20:53:14Z","timestamp":1260305594000},"page":"1-10","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":15,"title":["Noise brush"],"prefix":"10.1145","volume":"28","author":[{"given":"Jia","family":"Chen","sequence":"first","affiliation":[{"name":"The Hong Kong University of Science and Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chi-Keung","family":"Tang","sequence":"additional","affiliation":[{"name":"The Hong Kong University of Science and Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jue","family":"Wang","sequence":"additional","affiliation":[{"name":"Adobe Systems, Inc."}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2009,12]]},"reference":[{"key":"e_1_2_2_1_1","unstructured":"ABSoft Inc. 2008. 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