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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Autori principali:	Mary Charles Sheeba, Christopher Seldev Christopher
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Elsevier 2025-01-01
Serie:	Ain Shams Engineering Journal
Soggetti:	Image denoising Deep convolutional neural network Deep learning Noise reduction Image processing Adaptive white shark optimizer
Accesso online:	http://www.sciencedirect.com/science/article/pii/S2090447924005690
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