Hybrid shadow restitution technique for shadow-free scene reconstruction

dc.contributor.authorMuthukumar, M.
dc.contributor.authorNallaperumal, K.
dc.contributor.authorSubban, R.
dc.contributor.authorPerumalsamy, P.
dc.contributor.authorShashikala, S.
dc.contributor.authorSelva Kumar, S.
dc.contributor.authorDevi, S.
dc.date.accessioned2026-02-06T06:39:54Z
dc.date.issued2014
dc.description.abstractShadows are treated as a noise in computer vision scenario, even though it may found useful in many applications. This research focuses the insignificant shadow restitution methodology to improve the scene visibility and to support the dynamic range reduction. The Hybrid technique combines the physical, geometric, textural, spatial and photometric features for shadow detection. Using feature importance statistics the appropriate criteria is chosen and applied. The experiments over wide dataset prove that the proposed hybrid technique outperforms peer research proposals with the expense of computational cost and time. The output results in a shadow-free, visually plausible high quality image. © Springer International Publishing Switzerland 2014.
dc.identifier.citationAdvances in Intelligent Systems and Computing, 2014, Vol.264, , p. 517-530
dc.identifier.issn21945357
dc.identifier.urihttps://doi.org/10.1007/978-3-319-04960-1_45
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/32597
dc.publisherSpringer Verlag service@springer.de
dc.subjectChromaticity
dc.subjectDe-shadowing
dc.subjectGradient
dc.subjectHybrid technique
dc.subjectImage reconstruction
dc.subjectShadow detection
dc.subjectShadow enhancement
dc.subjectShadow reconstruction
dc.subjectShadow removal
dc.subjectTexture
dc.titleHybrid shadow restitution technique for shadow-free scene reconstruction

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