Work

Comparison of Widely-used Image Restoration Methods for Additive and Multiplicative Noises

Year: 2025

Type: conference-paper

Source: International Conference on Digital Signal Processing and its Applications (DSPA)

DOI: 10.1109/dspa64310.2025.10977909

Authors: Mohammad Zedan, Yury S. Bekhtin

Institutions: Moscow Power Engineering Institute, Ryazan State Radio Engineering University

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: W4410229441

FWCI:

Cites: 31

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Related to: 10