Medical Image Despeckling Using the Invertible Sparse Fuzzy Wavelet Transform with Nature-Inspired Minibatch Water Wave Swarm Optimization

Medical Image Despeckling Using the Invertible Sparse Fuzzy Wavelet Transform with Nature-Inspired Minibatch Water Wave Swarm Optimization

Speckle noise is a pervasive problem in medical imaging, and conventional methods for despeckling often lead to loss of edge information due to smoothing. To address this issue, we propose a novel approach that combines a nature-inspired minibatch water wave swarm optimization (NIMWVSO) framework wi...

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Bibliographic Details
Main Authors: Ahila Amarnath, Poongodi Manoharan, Buvaneswari Natarajan, Roobaea Alroobaea, Majed Alsafyani, Abdullah M. Baqasah, Ismail Keshta, Kaamran Raahemifar
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Diagnostics
Subjects:
speckle noise
threshold
nature-inspired minibatch water wave swarm optimization
inveritible sparse fuzzy wavelet transform
Online Access:https://www.mdpi.com/2075-4418/13/18/2919

Internet

https://www.mdpi.com/2075-4418/13/18/2919

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