{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,10]],"date-time":"2026-10-10T06:16:07Z","timestamp":1791612967467,"version":"4.3.4"},"reference-count":22,"publisher":"Oxford University Press (OUP)","issue":"4","license":[{"start":{"date-parts":[[2023,2,13]],"date-time":"2023-02-13T00:00:00Z","timestamp":1676246400000},"content-version":"vor","delay-in-days":4245,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["DMS-034911"],"award-info":[{"award-number":["DMS-034911"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2011,9,1]]},"abstract":"<jats:title>Summary<\/jats:title>\n               <jats:p>We consider a multiscale model for intensities in photon-limited images using a Bayesian framework. A typical Dirichlet prior on relative intensities is not efficient in picking up structures owing to the continuity of intensities. We propose a novel prior using the so-called \u2018Chinese restaurant process\u2019 to create structures in the form of equal intensities of some neighbouring pixels. Simulations are conducted using several photon-limited images, which are common in X-ray astronomy and other high energy photon-based images. Applications to astronomical images from the Chandra X-ray Observatory satellite are shown. The new methodology outperforms most existing methods in terms of image processing quality, speed and the ability to select smoothing parameters automatically.<\/jats:p>","DOI":"10.1111\/j.1467-9868.2011.00776.x","type":"journal-article","created":{"date-parts":[[2011,7,1]],"date-time":"2011-07-01T19:22:41Z","timestamp":1309548161000},"page":"579-599","source":"Crossref","is-referenced-by-count":5,"title":["Bayesian Smoothing of Photon-Limited Images with Applications in Astronomy"],"prefix":"10.1093","volume":"73","author":[{"given":"John Thomas","family":"White","sequence":"first","affiliation":[{"name":"North Carolina State University , Raleigh , USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Subhashis","family":"Ghosal","sequence":"additional","affiliation":[{"name":"North Carolina State University , Raleigh , USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2011,7,1]]},"reference":[{"key":"2023021401015424200_b1","first-page":"59","article-title":"An error metric for binary images","volume-title":"Robust Computer Vision: Quality of Vision Algorithms","author":"Baddeley","year":"1992"},{"key":"2023021401015424200_b2","first-page":"125","author":"Coifman","year":"1995"},{"key":"2023021401015424200_b3","doi-asserted-by":"crossref","first-page":"859","DOI":"10.1214\/aos\/1018031261","article-title":"Wedgelets: nearly minimax estimates of edges","volume":"27","author":"Donoho","year":"1999","journal-title":"Ann. 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