Enhanced Adaptive Wiener Filtering for Frequency-Varying Noise with Convolutional Neural Network-Based Feature Extraction

Denoising has long been a challenge in image processing. Noise appears in various forms, such as additive white Gaussian noise (AWGN) and Poisson noise across different frequencies. This study aims to denoise images without prior knowledge of the noise distribution. First, we estimate the noise powe...

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Bibliographic Details
Main Authors:	Chun-Lin Liao, Jian-Jiun Ding, De-Yan Lu
Format:	Article
Language:	English
Published:	MDPI AG 2025-05-01
Series:	Engineering Proceedings
Subjects:	noise estimation sparse time-frequency domain denoising image reconstruction noise distribution model
Online Access:	https://www.mdpi.com/2673-4591/92/1/47
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Enhanced Adaptive Wiener Filtering for Frequency-Varying Noise with Convolutional Neural Network-Based Feature Extraction

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