An Improved Variational-Based Model for Denoising and Segmentation of Vector-Valued Images

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An Improved Variational-Based Model for Denoising and Segmentation of Vector-Valued Images

Preserving important features such as edges is one of the main concerns in models for denoising and segmenting vector-valued (colour) images. The Rudin-Osher-Fatemi (ROF) model is a well-known variational-based image denoising model that is capable of reducing image noise while preserving image edge...

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Bibliographic Details
Published in:	Journal of Advanced Research in Applied Sciences and Engineering Technology
Main Author:	Ismail N.; Jumaat A.K.; Zulkarnain N.F.A.
Format:	Article
Language:	English
Published:	Semarak Ilmu Publishing 2024
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185689936&doi=10.37934%2faraset.40.1.189203&partnerID=40&md5=54503ece340878bb7971f324d1d18dc3

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