{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,8]],"date-time":"2024-09-08T15:03:10Z","timestamp":1725807790964},"reference-count":35,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2020,2,20]],"date-time":"2020-02-20T00:00:00Z","timestamp":1582156800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Algorithms"],"abstract":"The tolerance mechanism based on dark channel prior (DCP) of a single image dehazing algorithm is less effective when there are large areas of the bright region in the hazy image because it cannot obtain the tolerance adaptively according to the characteristics of the image. It will lead to insufficient improvement of the transmission of image, so it is difficult to eliminate the color distortion and block effects in the restored image completely. Moreover, when a dense haze area or a third-party direct light source (sunlight, headlights and reflected glare) is misjudged as sky area, the use of tolerance will cause an inferior dehazing effect such as details lost. Regarding the issue above, this paper proposes an adaptive tolerance estimation algorithm. The tolerance is obtained according to the statistic characteristics of each image to make the estimation of transmission more accurately. The experimental results show that the proposed algorithm not only maintains high operational efficiency but also effectively compensates for the defects of the dark channel prior to some scenes. The proposed algorithm can effectively solve the problem of color distortion recovered by the DCP method in the bright regions of the image.<\/jats:p>","DOI":"10.3390\/a13020045","type":"journal-article","created":{"date-parts":[[2020,2,21]],"date-time":"2020-02-21T13:59:47Z","timestamp":1582293587000},"page":"45","source":"Crossref","is-referenced-by-count":4,"title":["Adaptive Tolerance Dehazing Algorithm Based on Dark Channel Prior"],"prefix":"10.3390","volume":"13","author":[{"given":"Fan","family":"Yang","sequence":"first","affiliation":[{"name":"School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100876, China"}]},{"given":"ShouLian","family":"Tang","sequence":"additional","affiliation":[{"name":"School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100876, China"}]}],"member":"1968","published-online":{"date-parts":[[2020,2,20]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1023\/A:1016328200723","article-title":"Vision and the Atmosphere","volume":"48","author":"Narasimhan","year":"2002","journal-title":"Int. J. Comput. Vision"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1109\/30.663733","article-title":"Contrast enhancement system using spatially adaptive histogram equalization with temporal filtering","volume":"44","author":"Kim","year":"1998","journal-title":"IEEE Trans. Consum. Electron."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"954","DOI":"10.1016\/j.neucom.2005.07.003","article-title":"Ratio rule and homomorphic filter for enhancement of digital colour image","volume":"69","author":"Seown","year":"2006","journal-title":"Neurocomputing"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Joshi, K.R., and Kamathe, R.S. (2008, January 7\u20139). Quantification of retinex in enhancement of weather degraded images. Proceedings of the International Conference on Audio, Language and Image Processing IEEE, Shanghai, China.","DOI":"10.1109\/ICALIP.2008.4590120"},{"key":"ref_5","first-page":"779","article-title":"Optics of the atmosphere: Scattering by molecules and particles","volume":"24","author":"Mccartney","year":"1997","journal-title":"Optica Acta Int. J. Optics"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/1360612.1360671","article-title":"Single image dehazing","volume":"27","author":"Fattal","year":"2008","journal-title":"Acm Trans. Graphics"},{"key":"ref_7","unstructured":"Tarel, J.P., and Hauti\u00e8re, N. (October, January 29). Fast visibility restoration from a single color or gray level image. Proceedings of the IEEE International Conference on Computer Vision, Kyoto, Japan."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"2341","DOI":"10.1109\/TPAMI.2010.168","article-title":"Single image haze removal using dark channel prior","volume":"33","author":"He","year":"2011","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"228","DOI":"10.1109\/TPAMI.2007.1177","article-title":"A closed form solution to natural image matting","volume":"30","author":"Levin","year":"2007","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"282","DOI":"10.1080\/13682199.2017.1329792","article-title":"Dehazing of remote sensing images using improved restoration model based dark channel prior","volume":"65","author":"Singh","year":"2017","journal-title":"Imaging Sci. J."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"2165","DOI":"10.1080\/09500340.2017.1344736","article-title":"Modified gain intervention filter based dehazing technique","volume":"64","author":"Singh","year":"2017","journal-title":"J. Modern Optics"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"208","DOI":"10.1049\/iet-cvi.2017.0044","article-title":"Dehazing of remote sensing images using fourth-order partial differential equations based trilateral filter","volume":"12","author":"Singh","year":"2018","journal-title":"IET Comp. Vision"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"5187","DOI":"10.1109\/TIP.2016.2598681","article-title":"Dehazenet: An end-to-end system for single image haze removal","volume":"25","author":"Cai","year":"2016","journal-title":"IEEE Trans. Image Process."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"26831","DOI":"10.1109\/ACCESS.2018.2833888","article-title":"Image dehazing using residual-based Deep CNN","volume":"6","author":"Li","year":"2018","journal-title":"IEEE Access"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1397","DOI":"10.1109\/TPAMI.2012.213","article-title":"Guided image filtering","volume":"35","author":"He","year":"2013","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"753","DOI":"10.1109\/JDT.2016.2518646","article-title":"A high-efficiency and high-speed gain intervention refinement filter for haze removal","volume":"12","author":"Chen","year":"2016","journal-title":"J. Disp. Technol."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"725","DOI":"10.1049\/iet-ipr.2015.0087","article-title":"Real-time single image dehazing using block-to-pixel interpolation and adaptive dark channel prior","volume":"9","author":"Yu","year":"2015","journal-title":"IET Image Process."},{"key":"ref_18","first-page":"120","article-title":"Weighted guided image filtering","volume":"24","author":"Li","year":"2014","journal-title":"IEEE Trans. Image Process."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"5432","DOI":"10.1109\/TIP.2015.2482903","article-title":"Edge-preserving decomposition-based single image haze removal","volume":"24","author":"Li","year":"2015","journal-title":"IEEE Trans. Image Process."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"033027","DOI":"10.1117\/1.JEI.26.3.033027","article-title":"Guided filter based on multikernel fusion","volume":"26","author":"Xiang","year":"2017","journal-title":"J. Electron. Imaging"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"043003","DOI":"10.1117\/1.JEI.25.4.043003","article-title":"Single image dehazing algorithm using wavelet decomposition and fast kernel regression model","volume":"25","author":"Feng","year":"2016","journal-title":"J. Electron. Imaging"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1168","DOI":"10.3923\/itj.2013.1168.1175","article-title":"Single image dehazing algorithm based on sky region segmentation","volume":"12","author":"Wang","year":"2013","journal-title":"Inf. Technol. J."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"8890","DOI":"10.1109\/ACCESS.2017.2710305","article-title":"Single image dehazing via large sky region segmentation and multiscale opening dark channel model","volume":"5","author":"Liu","year":"2017","journal-title":"IEEE Access"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"023038","DOI":"10.1117\/1.JEI.27.2.023038","article-title":"Saliency-driven single image haze removal method based on reliable airlight and transmission","volume":"27","author":"Zhang","year":"2018","journal-title":"J. Electron. Imaging"},{"key":"ref_25","first-page":"6","article-title":"Enhancement dark channel theory algorithm of fog image based on fourth-order PDE model","volume":"39","author":"Gao","year":"2015","journal-title":"J. Nanjing Univ. Sci. Technol."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"713","DOI":"10.1109\/TPAMI.2003.1201821","article-title":"Contrast restoration of weather degraded images","volume":"25","author":"Narasimhan","year":"2003","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_27","unstructured":"Narasimhan, S.G., and Nayar, S.K. (2003, January 12). Interactive (de) weathering of an image using physical models. Proceedings of the IEEE Workshop on Color and Photometric Methods in Computer Vision, Nice, France."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Shi, L., Yang, L., Cui, X., Gai, Z., Chu, S., and Shi, J. (2016, January 1). Image dehazing using dark channel prior and the corrected transmission map. Proceedings of the 2016 2nd International Conference on Control, Automation and Robotics (ICCAR), Hong Kong.","DOI":"10.1109\/ICCAR.2016.7486750"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"2032","DOI":"10.1364\/JOSAA.7.002032","article-title":"Contrast in complex images","volume":"7","author":"Peli","year":"1990","journal-title":"J. Opt. Soc. Am. Opt. Image Sci. Vision"},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Kim, J.H., Sim, J.Y., and Kim, C.S. (2011, January 22\u201327). Single image dehazing based on contrast enhancement. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, Prague, Czech Republic.","DOI":"10.1109\/ICASSP.2011.5946643"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1023\/A:1014573219977","article-title":"A taxonomy and evaluation of dense two-frame stereo correspondence algorithms","volume":"47","author":"Scharstein","year":"2002","journal-title":"Int. J. Comput. Vision"},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Scharsteinet, D., Hirschm\u00fcller, H., Kitajima, Y., Krathwohl, G., Ne\u0161i\u0107, N., Wang, X., and Westling, P. (2014, January 2\u20135). High-resolution stereo datasets with subpixel-accurate ground truth. Proceedings of the German Conference on Pattern Recognition, M\u00fcnster, Germany.","DOI":"10.1007\/978-3-319-11752-2_3"},{"key":"ref_33","first-page":"87","article-title":"Blind contrast enhancement assessment by gradient ratioing at visible edges","volume":"27","author":"Tarel","year":"2008","journal-title":"Image Anal. Stereol."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"1735","DOI":"10.1109\/ACCESS.2017.2660302","article-title":"A region-wised medium transmission based image dehazing method","volume":"5","author":"Yuan","year":"2017","journal-title":"IEEE Access"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"600","DOI":"10.1109\/TIP.2003.819861","article-title":"Image quality assessment: From errsor visibility to structural similarity","volume":"13","author":"Wang","year":"2004","journal-title":"IEEE Trans. Image Process."}],"container-title":["Algorithms"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1999-4893\/13\/2\/45\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,24]],"date-time":"2024-06-24T15:52:58Z","timestamp":1719244378000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1999-4893\/13\/2\/45"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,2,20]]},"references-count":35,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2020,2]]}},"alternative-id":["a13020045"],"URL":"https:\/\/doi.org\/10.3390\/a13020045","relation":{},"ISSN":["1999-4893"],"issn-type":[{"value":"1999-4893","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,2,20]]}}}