{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,2]],"date-time":"2022-04-02T11:32:20Z","timestamp":1648899140336},"reference-count":10,"publisher":"World Scientific Pub Co Pte Lt","issue":"03","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Image Grap."],"published-print":{"date-parts":[[2007,7]]},"abstract":"<jats:p> In this paper a novel restoration algorithm based on iterative loops and data mining is proposed to restore the original object image from a few frames of aero-optics degraded images through the turbulence medium. Based on the iterative loops, the iterative mathematic models to estimate the random turbulent optical point spread functions and object image are built. A series of restoration experiments for both simulated and real aero-optics degraded images were performed to examine the proposed algorithm under a computerized simulation environment, which show that the proposed algorithm outperform previous algorithms and therefore is effective for practical applications. <\/jats:p>","DOI":"10.1142\/s0219467807002799","type":"journal-article","created":{"date-parts":[[2007,7,19]],"date-time":"2007-07-19T21:01:52Z","timestamp":1184878912000},"page":"515-527","source":"Crossref","is-referenced-by-count":0,"title":["TURBULENCE DEGRADED IMAGES RESTORATION BASED ON IMPROVED MULTIFRAME ITERATIVE LOOPS AND DATA MINING"],"prefix":"10.1142","volume":"07","author":[{"given":"CHUNSHENG","family":"LIU","sequence":"first","affiliation":[{"name":"Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan, 430074, P. R. China"}]},{"given":"TIANXU","family":"ZHANG","sequence":"additional","affiliation":[{"name":"Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan, 430074, P. R. China"}]},{"given":"BIYIN","family":"ZHANG","sequence":"additional","affiliation":[{"name":"Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan, 430074, P. R. China"}]}],"member":"219","published-online":{"date-parts":[[2011,11,20]]},"reference":[{"key":"rf1","volume-title":"Digital image restoration","author":"Andrews H. C.","year":"1977"},{"key":"rf2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-58216-5"},{"key":"rf3","volume-title":"Imaging through turbulence","author":"Roggeman M. C.","year":"1996"},{"key":"rf4","doi-asserted-by":"publisher","DOI":"10.1109\/83.502394"},{"key":"rf5","first-page":"1","volume":"44","author":"Zhang T. X.","journal-title":"Optical Engineering"},{"key":"rf6","doi-asserted-by":"publisher","DOI":"10.1364\/OL.13.000547"},{"key":"rf7","doi-asserted-by":"publisher","DOI":"10.1109\/79.489268"},{"key":"rf8","doi-asserted-by":"publisher","DOI":"10.1364\/JOSAA.9.001508"},{"key":"rf9","doi-asserted-by":"publisher","DOI":"10.1364\/JOSAA.15.000978"},{"key":"rf10","doi-asserted-by":"publisher","DOI":"10.1109\/83.661187"}],"container-title":["International Journal of Image and Graphics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0219467807002799","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,6]],"date-time":"2019-08-06T19:13:44Z","timestamp":1565118824000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0219467807002799"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2007,7]]},"references-count":10,"journal-issue":{"issue":"03","published-online":{"date-parts":[[2011,11,20]]},"published-print":{"date-parts":[[2007,7]]}},"alternative-id":["10.1142\/S0219467807002799"],"URL":"https:\/\/doi.org\/10.1142\/s0219467807002799","relation":{},"ISSN":["0219-4678","1793-6756"],"issn-type":[{"value":"0219-4678","type":"print"},{"value":"1793-6756","type":"electronic"}],"subject":[],"published":{"date-parts":[[2007,7]]}}}