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...
| Published in: | Journal of Advanced Research in Applied Sciences and Engineering Technology |
|---|---|
| Main Author: | |
| 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 |