Author(s)

Ke Hu ¹

Affiliation(s)

¹ Nanning University, Nanning, Guangxi, 530299, China

Corresponding Author

Ke Hu

ABSTRACT

Light absorption and scattering cause severe color shifts and detail degradation in underwater images, hindering marine exploration and robotic vision applications. To address this issue, this paper presents a design for an underwater image enhancement system based on multiscale feature fusion. The system uses an encoder-decoder approach combined with a pyramid fusion strategy to extract features with different receptive fields through parallel multi-branch convolutions. It also introduces a spatial attention mechanism to perform adaptive weighted fusion and achieve image reconstruction via frequency-domain decomposition. Experiments validate that this method demonstrates excellent performance in color correction, detail preservation, and cross-scene generalization, providing an effective technical solution for underwater vision systems. 

KEYWORDS

Underwater image enhancement; Multiscale feature fusion; Encoder-decoder; Pyramid fusion

CITE THIS PAPER

Ke Hu. Method for Underwater Image Enhancement Based on Multiscale Feature Fusion. Journal of Image Processing Theory and Applications (2026) Vol. 9, No.1, 58-64. DOI: http://dx.doi.org/10.23977/jipta.2026.090106.

REFERENCES

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