{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T15:00:59Z","timestamp":1761663659509,"version":"3.37.3"},"reference-count":18,"publisher":"World Scientific Pub Co Pte Ltd","issue":"05","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[2018,5]]},"abstract":"<jats:p> Image haze removal has been extensively studied, but there has been no such an image database regarding the haze level. It is not convenient for readers to verify the assumptions or priors that are supposed to be useful for haze removal, and meanwhile, it is not fair to compare the performance of haze removal methods, which are effective for images with different haze levels. To solve this problem, we built a database consisting of more than 3464 images of different kinds of outdoor scenes. The images of the database are grouped into four classes regarding the haze level. Along with the database, we also observe a frequency magnitude prior, i.e. the frequency magnitude decreases with the increasing haze level, which can be used as a prior to develop haze removal methods. Our purpose is to help develop image haze removal methods, as well as verify existing statistical priors and discover new ones that can be used for image processing. <\/jats:p>","DOI":"10.1142\/s0218001418540125","type":"journal-article","created":{"date-parts":[[2017,9,7]],"date-time":"2017-09-07T22:44:56Z","timestamp":1504824296000},"page":"1854012","source":"Crossref","is-referenced-by-count":3,"title":["A Hazy Image Database with Analysis of the Frequency Magnitude"],"prefix":"10.1142","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9386-4232","authenticated-orcid":false,"given":"Shuhang","family":"Wang","sequence":"first","affiliation":[{"name":"Schepens Eye Research Institute, Mass Eye and Ear, Harvard Medical School, Boston, MA02114, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu","family":"Tian","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Beihang University, Beijing 100083, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tian","family":"Pu","sequence":"additional","affiliation":[{"name":"School of Optoelectronic Information, University of Electronic Science and Technology of China, Chengdu, Sichuan 610054, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Patrick","family":"Wang","sequence":"additional","affiliation":[{"name":"College of CCIS, Northeastern University, Boston, MA 02115, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Petra","family":"Perner","sequence":"additional","affiliation":[{"name":"Institute of Computer Vision and Applied Computer Sciences, Leipzig, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2018,1,3]]},"reference":[{"issue":"7","key":"S0218001418540125BIB001","first-page":"838","volume":"22","author":"Fang Y.","year":"2015","journal-title":"IEEE Signal Process. 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