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dc.contributor.authorJen, Tzu-Chengen_US
dc.contributor.authorWang, Sheng-Jyhen_US
dc.date.accessioned2014-12-08T15:23:37Z-
dc.date.available2014-12-08T15:23:37Z-
dc.date.issued2012-06-01en_US
dc.identifier.issn1051-8215en_US
dc.identifier.urihttp://hdl.handle.net/11536/16519-
dc.description.abstractIn this paper, an efficient Bayesian framework is proposed for image contrast enhancement. Based on the image acquisition pipeline, we model the image enhancement problem as a maximum a posteriori (MAP) estimation problem, where the posteriori probability is formulated based on the local information of the given image. In our framework, we express the likelihood model as a local image structure preserving constraint, where the overall effect of the shutter speed and camera response function is approximated as a linear transformation. On the other hand, we design the prior model based on the observed image and some statistical property of natural images. With the proposed framework, we can effectively enhance the contrast of the image in a natural-looking way, while with fewer artifacts at the same time. Moreover, in order to apply the proposed MAP formulation to typical enhancement problems, like image editing, we further convert the estimation process into an intensity mapping process, which can achieve comparable enhancement performance with a much lower computational complexity. Simulation results have demonstrated the feasibility of the proposed framework in providing flexible and effective contrast enhancement.en_US
dc.language.isoen_USen_US
dc.subjectContrast enhancementen_US
dc.subjectmaximum a posteriori (MAP) estimationen_US
dc.titleBayesian Structure-Preserving Image Contrast Enhancement and Its Simplificationen_US
dc.typeArticleen_US
dc.identifier.journalIEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGYen_US
dc.citation.volume22en_US
dc.citation.issue6en_US
dc.citation.epage831en_US
dc.contributor.department電子工程學系及電子研究所zh_TW
dc.contributor.departmentDepartment of Electronics Engineering and Institute of Electronicsen_US
dc.identifier.wosnumberWOS:000305180600002-
dc.citation.woscount2-
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