Medical Image Despeckling Using the Invertible Sparse Fuzzy Wavelet Transform with Nature-Inspired Minibatch Water Wave Swarm Optimization
<p dir="ltr">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 optimi...
Saved in:
| Main Author: | Ahila Amarnath (19482388) (author) |
|---|---|
| Other Authors: | Poongodi Manoharan (17727687) (author), Buvaneswari Natarajan (19482391) (author), Roobaea Alroobaea (8698965) (author), Majed Alsafyani (17727696) (author), Abdullah M. Baqasah (17542077) (author), Ismail Keshta (17727699) (author), Kaamran Raahemifar (707645) (author) |
| Published: |
2023
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Improved Cognitive Vigilance Assessment after Artifact Reduction with Wavelet Independent Component Analysis
by: Abu Farha, Nadia
Published: (2022) -
Dense Optical Flow Estimation Using Sparse Regularizers From Reduced Measurements
by: Muhammad Wasim Nawaz (19325677)
Published: (2024) -
Modeling, design, and implementation of a bio-inspired propulsion mechanism for underwater vehicles
by: Omari, Mohamad
Published: (2021) -
Polarimetric SAR Speckle Reduction by Hybrid Iterative Filtering
by: Yahia, Mohamed
Published: (2020) -
Multi-Agent Variational Approach for Robotics: A Bio-Inspired Perspective
by: Mir, Imran
Published: (2023)