Adaptive deep residual network for image denoising across multiple noise levels in medical, nature, and satellite images

Adaptive deep residual network for image denoising across multiple noise levels in medical, nature, and satellite images

This research introduces the Adaptive Deep Residual Network (AdResNet), a deep convolutional neural network designed for effective image denoising in computer vision applications. Configured with the Adaptive White Shark Optimizer (AWSO), AdResNet removes noise while preserving key visual features....

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Bibliographic Details
Main Authors: Mary Charles Sheeba, Christopher Seldev Christopher
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Ain Shams Engineering Journal
Subjects:
Image denoising
Deep convolutional neural network
Deep learning
Noise reduction
Image processing
Adaptive white shark optimizer
Online Access:http://www.sciencedirect.com/science/article/pii/S2090447924005690
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