An underwater image enhancement method based on Swin transformer

Guang Yang; Shaopeng Liu; Yiman Zhang

doi:10.1117/12.3017413

15 December 2023 An underwater image enhancement method based on Swin transformer

Guang Yang, Shaopeng Liu, Yiman Zhang

Proceedings Volume 12971, Third International Conference on Optics and Communication Technology (ICOCT 2023); 129710B (2023) https://doi.org/10.1117/12.3017413
Event: Third International Conference on Optics and Communication Technology (ICOCT 2023), 2023, Changchun, China

Abstract

An underwater image enhancement model based on Swin Transformer is designed to solve the problems of color shift, low contrast, detail loss and noise in underwater images caused by absorption and scattering effects during the propagation of light underwater. The model consists of two parts: feature extraction and image reconstruction. First, image features are extracted using a set of improved residual Swin Transformer modules, which allows the model to process images with fewer parameters and establish long-term dependencies between image features. Further, a parallel attention mechanism is introduced into the model to focus on both semantic and spatial information contained in underwater images to improve image enhancement. Experimental results show that compared with existing popular underwater image enhancement methods, the proposed Underwater Image Enhancement Method in this paper has advantages in both the number of network parameters and image enhancement accuracy and has made significant progress in correcting color bias, improving contrast, enhancing details and eliminating noise.

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

Citation Download Citation

Guang Yang, Shaopeng Liu, and Yiman Zhang "An underwater image enhancement method based on Swin transformer", Proc. SPIE 12971, Third International Conference on Optics and Communication Technology (ICOCT 2023), 129710B (15 December 2023); https://doi.org/10.1117/12.3017413

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KEYWORDS

Image enhancement

Transformers

Image processing

Feature extraction

Image quality

Image restoration

Visual process modeling

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