Work

Performance Comparison of Autoencoders and Traditional Denoising Methods Across Four Image Datasets: Metric-Based Optimization

Year: 2025

Type: conference-paper

Source: International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)

DOI: 10.1109/reepe63962.2025.10970812

Authors: Mohammad Zedan, Yury S. Bekhtin

Institution: Moscow Power Engineering Institute

Language: English

Topic: Image and Signal Denoising Methods

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4410298073

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