Please use this identifier to cite or link to this item: https://idr.l3.nitk.ac.in/jspui/handle/123456789/11350
Full metadata record
DC FieldValueLanguage
dc.contributor.authorJidesh, P.
dc.contributor.authorGeorge, S.
dc.date.accessioned2020-03-31T08:31:11Z-
dc.date.available2020-03-31T08:31:11Z-
dc.date.issued2011
dc.identifier.citationInternational Journal of Computational Vision and Robotics, 2011, Vol.2, 4, pp.330-340en_US
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/11350-
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.en_US
dc.titleFourth-order variational model with local-constraints for denoising images with texturesen_US
dc.typeArticleen_US
Appears in Collections:1. Journal Articles

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.