Fourth-order variational model with local-constraints for denoising images with textures

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dc.contributor.authorPadikkal, P.
dc.contributor.authorGeorge, S.
dc.date.accessioned2026-02-05T09:36:01Z
dc.date.issued2011
dc.description.abstractA fourth-order partial differential equation-based approach with a set of local constraints is proposed in this paper, to denoise the images without losing much of the semantically important features like edges and textures. The results provided both in terms of qualitative and quantitative measures substantially endorse the capability of the method. © 2011 Inderscience Enterprises Ltd.
dc.identifier.citationInternational Journal of Computational Vision and Robotics, 2011, 2, 4, pp. 330-340
dc.identifier.issn17529131
dc.identifier.urihttps://doi.org/10.1504/IJCVR.2011.045270
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/27323
dc.subjectfourth-order PDE
dc.subjectimage denoising
dc.subjectlocal constraints
dc.subjectvariational methods
dc.titleFourth-order variational model with local-constraints for denoising images with textures

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