Please use this identifier to cite or link to this item: https://repository.cihe.edu.hk/jspui/handle/cihe/4113
DC FieldValueLanguage
dc.contributor.authorLiu, Huien_US
dc.contributor.otherChau, L.-P.-
dc.date.accessioned2023-06-29T03:46:27Z-
dc.date.available2023-06-29T03:46:27Z-
dc.date.issued2016-
dc.identifier.urihttps://repository.cihe.edu.hk/jspui/handle/cihe/4113-
dc.description.abstractLow contrast and color distortion are two major problems suffered by underwater images. In this work, a novel and systematic enhancement method based on contrast enhancement is proposed to restore the degraded underwater images. The proposed method mainly contains three steps. First, the quadtree subdivision strategy is adopted to estimate the waterlight. Then we formulate a cost function and minimize it so as to find the optimal transmission map which is able to maximize the image contrast. Once the waterlight and transmission map are obtained, based on the underwater image degradation model, the backscattering effect and color distortion caused by the light attenuation along the underwater object-camera path can be corrected. Finally, to further compensate for the color loss along the surface-object propagation path, a simple but effective color correction method is applied. Experimental results demonstrate that our proposed method can achieve comparable or even better results than some state-of-the-art approaches.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.titleUnderwater image restoration based on contrast enhancementen_US
dc.typeconference proceedingsen_US
dc.relation.publication2016 IEEE International Conference on Digital Signal Processing (DSP) Proceedingsen_US
dc.identifier.doi10.1109/ICDSP.2016.7868625-
dc.contributor.affiliationSchool of Computing and Information Sciencesen_US
dc.relation.isbn9781509041664en_US
dc.description.startpage584en_US
dc.description.endpage588en_US
dc.cihe.affiliatedNo-
item.languageiso639-1en-
item.fulltextNo Fulltext-
item.openairetypeconference proceedings-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_5794-
item.cerifentitytypePublications-
crisitem.author.deptYam Pak Charitable Foundation School of Computing and Information Sciences-
Appears in Collections:CIS Publication
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