{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,3]],"date-time":"2026-08-03T15:06:46Z","timestamp":1785769606116,"version":"3.56.0"},"reference-count":59,"publisher":"Association for Computing Machinery (ACM)","issue":"5","license":[{"start":{"date-parts":[[2015,11,3]],"date-time":"2015-11-03T00:00:00Z","timestamp":1446508800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Graph."],"published-print":{"date-parts":[[2015,11,3]]},"abstract":"<jats:p>\n            Photographers often \u201cprep\u201d their subjects to achieve various effects; for example, toning down overly shiny skin, covering blotches, etc. Making such adjustments digitally after a shoot is possible, but difficult without good tools and good skills. Making such adjustments to video footage is harder still. We describe and study a set of 2D image operations, based on multiscale image analysis, that are easy and straightforward and that can consistently modify perceived material properties. These operators first build a subband decomposition of the image and then selectively modify the coefficients within the subbands. We call this selection process\n            <jats:italic>band sifting<\/jats:italic>\n            .\n          <\/jats:p>\n          <jats:p>We show that different siftings of the coefficients can be used to modify the appearance of properties such as gloss, smoothness, pigmentation, or weathering. The band-sifting operators have particularly striking effects when applied to faces; they can provide \u201cknobs\u201d to make a face look wetter or drier, younger or older, and with heavy or light variation in pigmentation. Through user studies, we identify a set of operators that yield consistent subjective effects for a variety of materials and scenes. We demonstrate that these operators are also useful for processing video sequences.<\/jats:p>","DOI":"10.1145\/2809796","type":"journal-article","created":{"date-parts":[[2015,10,30]],"date-time":"2015-10-30T12:58:59Z","timestamp":1446209939000},"page":"1-16","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":38,"title":["Band-Sifting Decomposition for Image-Based Material Editing"],"prefix":"10.1145","volume":"34","author":[{"given":"Ivaylo","family":"Boyadzhiev","sequence":"first","affiliation":[{"name":"Cornell University, Ithaca, NY"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kavita","family":"Bala","sequence":"additional","affiliation":[{"name":"Cornell University, Ithaca, NY"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sylvain","family":"Paris","sequence":"additional","affiliation":[{"name":"Adobe"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Edward","family":"Adelson","sequence":"additional","affiliation":[{"name":"MIT, Cambridge, MA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2015,11,3]]},"reference":[{"key":"e_1_2_2_1_1","unstructured":"Arqball. 2014. Shoes. https:\/\/arqspin.com\/gallery\/shoes\/.  Arqball. 2014. Shoes. https:\/\/arqspin.com\/gallery\/shoes\/."},{"key":"e_1_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/1141911.1141935"},{"key":"e_1_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/2461912.2462002"},{"key":"e_1_2_2_4_1","volume-title":"Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR'15)","author":"Bell S.","unstructured":"S. Bell , P. Upchurch , N. Snavely , and K. Bala . 2015. Material recognition in the wild with the materials in context database . In Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR'15) . S. Bell, P. Upchurch, N. Snavely, and K. Bala. 2015. Material recognition in the wild with the materials in context database. In Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR'15)."},{"key":"e_1_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCOM.1983.1095851"},{"key":"e_1_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995413"},{"key":"e_1_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/1276377.1276506"},{"key":"e_1_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/344779.344855"},{"key":"e_1_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/258734.258884"},{"key":"e_1_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/18.382009"},{"key":"e_1_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/566654.566574"},{"key":"e_1_2_2_12_1","unstructured":"T. Ewan. 2009. Orange. https:\/\/www.flickr.com\/photos\/the_ewan\/3958779607\/.  T. Ewan. 2009. Orange. https:\/\/www.flickr.com\/photos\/the_ewan\/3958779607\/."},{"key":"e_1_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/1360612.1360666"},{"key":"e_1_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/1531326.1531328"},{"key":"e_1_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/1276377.1276441"},{"key":"e_1_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/1077399.1077409"},{"key":"e_1_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1167\/13.8.9"},{"key":"e_1_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/2010324.1964964"},{"key":"e_1_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/2185520.2185529"},{"key":"e_1_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8659.2012.03151.x"},{"key":"e_1_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/1141911.1141988"},{"key":"e_1_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8659.2011.02054.x"},{"key":"e_1_2_2_23_1","unstructured":"M. Harris S. Sengupta and J. D. Owens. 2007. Parallel prefix sum (scan) with CUDA. In GPU Gems 3 H. Nguyen Ed. Addison-Wesley 851--876.  M. Harris S. Sengupta and J. D. Owens. 2007. Parallel prefix sum (scan) with CUDA. In GPU Gems 3 H. Nguyen Ed. Addison-Wesley 851--876."},{"key":"e_1_2_2_24_1","unstructured":"W. Hartshorn. 2008. Sweet potatoes. https:\/\/www.flickr.com\/photos\/wallyhartshorn\/2850269642\/.  W. Hartshorn. 2008. Sweet potatoes. https:\/\/www.flickr.com\/photos\/wallyhartshorn\/2850269642\/."},{"key":"e_1_2_2_25_1","volume-title":"Proceedings of the European Conference on Computer Vision (ECCV'10)","author":"He K.","unstructured":"K. He , J. Sun , and X. Tang . 2010. Guided image filtering . In Proceedings of the European Conference on Computer Vision (ECCV'10) . K. He, J. Sun, and X. Tang. 2010. Guided image filtering. In Proceedings of the European Conference on Computer Vision (ECCV'10)."},{"key":"e_1_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/218380.218446"},{"key":"e_1_2_2_27_1","unstructured":"R. Jill. 2006. Self portrait. https:\/\/www.flickr.com\/photos\/98972490N04\/958207891.  R. Jill. 2006. Self portrait. https:\/\/www.flickr.com\/photos\/98972490N04\/958207891."},{"key":"e_1_2_2_28_1","unstructured":"E. Judy. 2009. Good grape crop. https:\/\/www.flickr.com\/photos\/659247400N00\/5140439795\/.  E. Judy. 2009. Good grape crop. https:\/\/www.flickr.com\/photos\/659247400N00\/5140439795\/."},{"key":"e_1_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/2508363.2508403"},{"key":"e_1_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/1141911.1141937"},{"key":"e_1_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1167\/11.9.4"},{"key":"e_1_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1364\/JOSA.61.000001"},{"key":"e_1_2_2_33_1","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR'10)","author":"Liu C.","unstructured":"C. Liu , L. Sharan , E. H. Adelson , and R. Rosenholtz . 2010. Exploring features in a Bayesian framework for material recognition . In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR'10) . 239--246. C. Liu, L. Sharan, E. H. Adelson, and R. Rosenholtz. 2010. Exploring features in a Bayesian framework for material recognition. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR'10). 239--246."},{"key":"e_1_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1007\/11744023_43"},{"key":"e_1_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/2010324.1964935"},{"key":"e_1_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/1166087.1166095"},{"key":"e_1_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1167\/13.14.2"},{"key":"e_1_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cub.2012.08.009"},{"key":"e_1_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.5555\/2383894.2383929"},{"key":"e_1_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1038\/nature05724"},{"key":"e_1_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.5555\/2383894.2383945"},{"key":"e_1_2_2_42_1","volume-title":"\u201cbehavior based interview questions","author":"Osu F.","unstructured":"F. Osu . 2012. How to answer \u201cbehavior based interview questions \u201d - Interview tip. https:\/\/\/www.youtube.com\/watch?v=qKBubK0-798. F. Osu. 2012. How to answer \u201cbehavior based interview questions\u201d - Interview tip. https:\/\/\/www.youtube.com\/watch?v=qKBubK0-798."},{"key":"e_1_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/2010324.1964963"},{"key":"e_1_2_2_44_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-013-0695-z"},{"key":"e_1_2_2_45_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1026553619983"},{"key":"e_1_2_2_46_1","first-page":"4","article-title":"Image statistics for surface reflectance perception","volume":"25","author":"Sharan L.","year":"2008","unstructured":"L. Sharan , Y. Li , I. Motoyoshi , S. Nishida , and E. H. Adelson . 2008 . Image statistics for surface reflectance perception . J. Optic. Soc. Amer. A25 , 4 . L. Sharan, Y. Li, I. Motoyoshi, S. Nishida, and E. H. Adelson. 2008. Image statistics for surface reflectance perception. J. Optic. Soc. Amer. A25, 4.","journal-title":"J. Optic. Soc. Amer."},{"key":"e_1_2_2_47_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-013-0609-0"},{"key":"e_1_2_2_48_1","volume-title":"Proceedings of the IEEE International Conference on Image Processing (ICIP'96)","author":"Simoncelli E. P.","unstructured":"E. P. Simoncelli and E. H. Adelson . 1996. Noise removal via Bayesian wavelet coring . In Proceedings of the IEEE International Conference on Image Processing (ICIP'96) . 379--382. E. P. Simoncelli and E. H. Adelson. 1996. Noise removal via Bayesian wavelet coring. In Proceedings of the IEEE International Conference on Image Processing (ICIP'96). 379--382."},{"key":"e_1_2_2_49_1","unstructured":"E. Stochter. 2013. Gargoyle. https:\/\/pixabay.com\/en\/gargoyle-fountain-lion-lion-head-205999\/.  E. Stochter. 2013. Gargoyle. https:\/\/pixabay.com\/en\/gargoyle-fountain-lion-lion-head-205999\/."},{"key":"e_1_2_2_50_1","volume-title":"Proceedings of the IEEE International Conference on Computer Vision (ICCV'98)","author":"Tomasi C.","unstructured":"C. Tomasi and R. Manduchi . 1998. Bilateral filtering for gray and color images . In Proceedings of the IEEE International Conference on Computer Vision (ICCV'98) . C. Tomasi and R. Manduchi. 1998. Bilateral filtering for gray and color images. In Proceedings of the IEEE International Conference on Computer Vision (ICCV'98)."},{"key":"e_1_2_2_51_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8659.2011.01894.x"},{"key":"e_1_2_2_52_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8659.2012.03056.x"},{"key":"e_1_2_2_53_1","doi-asserted-by":"publisher","DOI":"10.1145\/2185520.2185590"},{"key":"e_1_2_2_54_1","unstructured":"Videvo. 2014. Fresh grapes close up. http:\/\/www.videvo.net\/video\/fresh-grapes-close-up\/2350.  Videvo. 2014. Fresh grapes close up. http:\/\/www.videvo.net\/video\/fresh-grapes-close-up\/2350."},{"key":"e_1_2_2_55_1","doi-asserted-by":"publisher","DOI":"10.1145\/2614028.2615407"},{"key":"e_1_2_2_56_1","doi-asserted-by":"publisher","DOI":"10.1145\/142920.134078"},{"key":"e_1_2_2_57_1","unstructured":"L. West. 2006. Onion. https:\/\/www.flickr.com\/photos\/calliope\/104314753\/  L. West. 2006. Onion. https:\/\/www.flickr.com\/photos\/calliope\/104314753\/"},{"key":"e_1_2_2_58_1","doi-asserted-by":"publisher","DOI":"10.1145\/2070781.2024208"},{"key":"e_1_2_2_59_1","doi-asserted-by":"publisher","DOI":"10.1145\/2366145.2366158"}],"container-title":["ACM Transactions on Graphics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2809796","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2809796","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T05:42:54Z","timestamp":1750225374000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2809796"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,11,3]]},"references-count":59,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2015,11,3]]}},"alternative-id":["10.1145\/2809796"],"URL":"https:\/\/doi.org\/10.1145\/2809796","relation":{},"ISSN":["0730-0301","1557-7368"],"issn-type":[{"value":"0730-0301","type":"print"},{"value":"1557-7368","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,11,3]]},"assertion":[{"value":"2014-12-01","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2015-07-01","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2015-11-03","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}