A multi-scale branch convolutional neural network for denoising

Chunyu Wang; Xuesong Su

doi:10.1117/12.3000863

9 August 2023 A multi-scale branch convolutional neural network for denoising

Chunyu Wang, Xuesong Su

Proceedings Volume 12782, Third International Conference on Image Processing and Intelligent Control (IPIC 2023); 1278217 (2023) https://doi.org/10.1117/12.3000863
Event: Third International Conference on Image Processing and Intelligent Control (IPIC 2023), 2023, Kuala Lumpur, Malaysia

Abstract

Images, being significant carriers of memories and information, are valued by people. To restore images, it is necessary to perform noise reduction processing to eliminate noise generated by camera equipment and other factors. Traditional denoising technology such as wavelet transform is used to help engineer restore a image. And in recent years, the introduction of convolutional neural networks has accelerated the progress of noise reduction research. Many classic models have been developed by researchers using U-shaped networks and other techniques. Researchers often use multi-scale approaches to obtain multiple feature maps and enhance their network with these features. Our work enhanced denoising network by introducing large convolutions, small convolutions, and Fast Fourier convolutions to capture feature information at different scales. Additionally, we used an SE block to introduce attention mechanisms into the network. As evidenced by experimental results, our network achieved outstanding performance.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Chunyu Wang and Xuesong Su "A multi-scale branch convolutional neural network for denoising", Proc. SPIE 12782, Third International Conference on Image Processing and Intelligent Control (IPIC 2023), 1278217 (9 August 2023); https://doi.org/10.1117/12.3000863

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KEYWORDS

Denoising

Convolutional neural networks

Convolution

Design and modelling

Ablation

Image denoising

Network architectures

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