{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,23]],"date-time":"2025-12-23T05:32:04Z","timestamp":1766467924275,"version":"3.37.3"},"reference-count":30,"publisher":"Wiley","license":[{"start":{"date-parts":[[2018,8,13]],"date-time":"2018-08-13T00:00:00Z","timestamp":1534118400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["11176016","60872117"],"award-info":[{"award-number":["11176016","60872117"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["11176016","60872117"],"award-info":[{"award-number":["11176016","60872117"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computational Intelligence and Neuroscience"],"published-print":{"date-parts":[[2018,8,13]]},"abstract":"<jats:p>A novel image enhancement approach called entropy-based adaptive subhistogram equalization (EASHE) is put forward in this paper. The proposed algorithm divides the histogram of input image into four segments based on the entropy value of the histogram, and the dynamic range of each subhistogram is adjusted. A novel algorithm to adjust the probability density function of the gray level is proposed, which can adaptively control the degree of image enhancement. Furthermore, the final contrast-enhanced image is obtained by equalizing each subhistogram independently. The proposed algorithm is compared with some state-of-the-art HE-based algorithms. The quantitative results for a public image database named CVG-UGR-Database are statistically analyzed. The quantitative and visual assessments show that the proposed algorithm outperforms most of the existing contrast-enhancement algorithms. The proposed method can make the contrast of image more effectively enhanced as well as the mean brightness and details well preserved.<\/jats:p>","DOI":"10.1155\/2018\/3837275","type":"journal-article","created":{"date-parts":[[2018,8,13]],"date-time":"2018-08-13T19:31:49Z","timestamp":1534188709000},"page":"1-13","source":"Crossref","is-referenced-by-count":19,"title":["Adaptive Image Enhancement Using Entropy-Based Subhistogram Equalization"],"prefix":"10.1155","volume":"2018","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9990-3394","authenticated-orcid":true,"given":"Liyun","family":"Zhuang","sequence":"first","affiliation":[{"name":"School of Communication and Information Engineering, Shanghai University, Shanghai, China"},{"name":"Faculty of Electronic and Information Engineering, Huaiyin Institute of Technology, Huai\u2019an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1854-1430","authenticated-orcid":true,"given":"Yepeng","family":"Guan","sequence":"additional","affiliation":[{"name":"School of Communication and Information Engineering, Shanghai University, Shanghai, China"},{"name":"Key Laboratory of Advanced Displays and System Application, Ministry of Education, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1109\/tip.2017.2703078"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1109\/lgrs.2012.2208616"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2013.08.023"},{"year":"2009","key":"7"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1109\/30.580378"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1109\/30.754419"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1109\/tce.2003.1261234"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1109\/tce.2007.381734"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1109\/tce.2008.4637632"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.1109\/tce.2005.1561863"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.1109\/tce.2003.1261233"},{"key":"15","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2007.02.003"},{"key":"16","doi-asserted-by":"publisher","DOI":"10.1109\/tce.2009.5373771"},{"key":"17","doi-asserted-by":"publisher","DOI":"10.1109\/tce.2010.5681139"},{"key":"18","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2013.08.024"},{"key":"19","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijleo.2015.06.060"},{"key":"20","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijleo.2014.04.093"},{"issue":"2","key":"21","first-page":"1","volume":"12","year":"2012","journal-title":"International Journal of Computer Science and Network Security (IJCSNS)"},{"key":"22","doi-asserted-by":"publisher","DOI":"10.1109\/tce.2005.1561859"},{"key":"23","doi-asserted-by":"publisher","DOI":"10.1109\/tce.2008.4560077"},{"key":"24","doi-asserted-by":"publisher","DOI":"10.1007\/s00138-009-0223-x"},{"key":"25","doi-asserted-by":"publisher","DOI":"10.1109\/tip.2012.2226047"},{"key":"27","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2017.01.053"},{"key":"29","doi-asserted-by":"publisher","DOI":"10.1016\/j.phpro.2012.03.132"},{"issue":"2","key":"31","first-page":"1","volume":"3","year":"2012","journal-title":"International Journal of Scientific and Engineering Research"},{"key":"32","doi-asserted-by":"publisher","DOI":"10.1049\/iet-ipr.2011.0025"},{"key":"34","doi-asserted-by":"publisher","DOI":"10.1016\/j.infrared.2012.03.004"},{"key":"35","doi-asserted-by":"publisher","DOI":"10.9717\/kmms.2015.18.6.691"},{"key":"36","doi-asserted-by":"publisher","DOI":"10.1016\/j.aqpro.2015.02.073"},{"key":"37","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2016.10.012"}],"container-title":["Computational Intelligence and Neuroscience"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2018\/3837275.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2018\/3837275.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2018\/3837275.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,8,13]],"date-time":"2018-08-13T19:31:52Z","timestamp":1534188712000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/cin\/2018\/3837275\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,8,13]]},"references-count":30,"alternative-id":["3837275","3837275"],"URL":"https:\/\/doi.org\/10.1155\/2018\/3837275","relation":{},"ISSN":["1687-5265","1687-5273"],"issn-type":[{"type":"print","value":"1687-5265"},{"type":"electronic","value":"1687-5273"}],"subject":[],"published":{"date-parts":[[2018,8,13]]}}}