LD-Net: An Efficient Lightweight Denoising Model Based on Convolutional Neural Network
The removal of impulse noise is a crucial pre-processing step in image processing systems. In recent years, numerous noise-removal methods have been proposed to improve denoizing performance and reconstruct noise-free images. However, removing high-density impulse noise remains a major challenge. In...
Main Authors: | Trung-Hieu Le, Po-Hsiung Lin, Shih-Chia Huang |
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Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
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Series: | IEEE Open Journal of the Computer Society |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9152117/ |
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