{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,26]],"date-time":"2026-10-26T16:50:12Z","timestamp":1793033412143,"version":"4.5.0"},"reference-count":21,"publisher":"Association for Computing Machinery (ACM)","issue":"5","license":[{"start":{"date-parts":[[2009,12,1]],"date-time":"2009-12-01T00:00:00Z","timestamp":1259625600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100001665","name":"Agence Nationale de la Recherche","doi-asserted-by":"publisher","award":["ANR-07-BLAN-0331"],"award-info":[{"award-number":["ANR-07-BLAN-0331"]}],"id":[{"id":"10.13039\/501100001665","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Graph."],"published-print":{"date-parts":[[2009,12]]},"abstract":"<jats:p>\n            We propose a new model for detail that inherently captures\n            <jats:italic>oscillations<\/jats:italic>\n            , a key property that distinguishes textures from individual edges. Inspired by techniques in empirical data analysis and morphological image analysis, we use the local extrema of the input image to extract information about oscillations: We define detail as oscillations between local minima and maxima. Building on the key observation that the spatial scale of oscillations are characterized by the density of local extrema, we develop an algorithm for decomposing images into multiple scales of superposed oscillations.\n          <\/jats:p>\n          <jats:p>Current edge-preserving image decompositions assume image detail to be low contrast variation. Consequently they apply filters that extract features with increasing contrast as successive layers of detail. As a result, they are unable to distinguish between high-contrast, fine-scale features and edges of similar contrast that are to be preserved. We compare our results with existing edge-preserving image decomposition algorithms and demonstrate exciting applications that are made possible by our new notion of detail.<\/jats:p>","DOI":"10.1145\/1618452.1618493","type":"journal-article","created":{"date-parts":[[2009,12,8]],"date-time":"2009-12-08T20:53:14Z","timestamp":1260305594000},"page":"1-9","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":217,"title":["Edge-preserving multiscale image decomposition based on local extrema"],"prefix":"10.1145","volume":"28","author":[{"given":"Kartic","family":"Subr","sequence":"first","affiliation":[{"name":"INRIA \/ Grenoble University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cyril","family":"Soler","sequence":"additional","affiliation":[{"name":"INRIA \/ Grenoble University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fr\u00e9do","family":"Durand","sequence":"additional","affiliation":[{"name":"MIT CSAIL"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2009,12]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/1141911.1141935"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCOM.1983.1095851"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/1276377.1276506"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/1198555.1198565"},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2005.855548"},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/566654.566574"},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/1360612.1360666"},{"key":"e_1_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/1276377.1276441"},{"key":"e_1_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1098\/rspa.1998.0193"},{"key":"e_1_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/29.9032"},{"key":"e_1_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/1015706.1015780"},{"key":"e_1_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.matcom.2005.03.020"},{"key":"e_1_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/1141911.1141936"},{"key":"e_1_2_1_14_1","first-page":"1","article-title":"Boundary processing of bidimensional emd using texture synthesis","volume":"12","author":"Liu Z.","year":"2005","unstructured":"Liu , Z. , and Peng , S. 2005 . Boundary processing of bidimensional emd using texture synthesis . Signal Processing Letters, IEEE 12 , 1 (Jan.), 33--36. Liu, Z., and Peng, S. 2005. Boundary processing of bidimensional emd using texture synthesis. Signal Processing Letters, IEEE 12, 1 (Jan.), 33--36.","journal-title":"Signal Processing Letters, IEEE"},{"key":"e_1_2_1_15_1","first-page":"633","article-title":"Texture analysis based on the bidimensional empirical mode decomposition with gray-level co-occurrence models. Signal Processing and Its Applications, 2003","volume":"2","author":"Nunes J.","year":"2003","unstructured":"Nunes , J. , Niang , O. , Bouaoune , Y. , Delechelle , E. , and Bunel , P. 2003 . Texture analysis based on the bidimensional empirical mode decomposition with gray-level co-occurrence models. Signal Processing and Its Applications, 2003 . Proceedings. 2 ( July ), 633 -- 635 vol. 2. Nunes, J., Niang, O., Bouaoune, Y., Delechelle, E., and Bunel, P. 2003. Texture analysis based on the bidimensional empirical mode decomposition with gray-level co-occurrence models. Signal Processing and Its Applications, 2003. Proceedings. 2 (July), 633--635 vol. 2.","journal-title":"Proceedings."},{"key":"e_1_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/383259.383310"},{"key":"e_1_2_1_17_1","doi-asserted-by":"crossref","unstructured":"Pattanaik S. N. Fairchild M. Ferwerda J. and Greenberg D. P. 1998. Multiscale model of adaptation spatial vision and color appearance.  Pattanaik S. N. Fairchild M. Ferwerda J. and Greenberg D. P. 1998. Multiscale model of adaptation spatial vision and color appearance.","DOI":"10.1145\/280814.280922"},{"key":"e_1_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/83.597272"},{"key":"e_1_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF01189221"},{"key":"e_1_2_1_20_1","volume-title":"In Proc. of the Sixth International Conference on Computer Vision","author":"Tomasi C.","year":"1998","unstructured":"Tomasi , C. , and Manduchi , R . 1998. Bilateral filtering for gray and color images . In In Proc. of the Sixth International Conference on Computer Vision , Bombay, India , January 1998 . Tomasi, C., and Manduchi, R. 1998. Bilateral filtering for gray and color images. In In Proc. of the Sixth International Conference on Computer Vision, Bombay, India, January 1998."},{"key":"e_1_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/311535.311544"}],"container-title":["ACM Transactions on Graphics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1618452.1618493","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/1618452.1618493","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T12:18:06Z","timestamp":1750249086000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1618452.1618493"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009,12]]},"references-count":21,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2009,12]]}},"alternative-id":["10.1145\/1618452.1618493"],"URL":"https:\/\/doi.org\/10.1145\/1618452.1618493","relation":{},"ISSN":["0730-0301","1557-7368"],"issn-type":[{"value":"0730-0301","type":"print"},{"value":"1557-7368","type":"electronic"}],"subject":[],"published":{"date-parts":[[2009,12]]},"assertion":[{"value":"2009-12-01","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}