Multi-focus image fusion based on edge feature interaction and global reconstruction

Qing Li; Man Huang

doi:10.1117/12.3041212

11 September 2024 Multi-focus image fusion based on edge feature interaction and global reconstruction

Qing Li, Man Huang

Proceedings Volume 13253, Fourth International Conference on Signal Image Processing and Communication (ICSIPC 2024); 132530F (2024) https://doi.org/10.1117/12.3041212
Event: 4th International Conference on Signal Image Processing and Communication, 2024, Xi'an, China

Abstract

Multi-focus image fusion aims to synthesize key features of different images to enhance visual performance and produce high-quality images with higher resolution and finer details to enrich overall visual perception. However, existing methods mainly focus on feature extraction without paying much attention to the feature reconstruction process. In this paper, we propose a fusion method based on edge feature interaction and global reconstruction. By combining spatial attention and channel attention mechanisms, image features are effectively extracted at the encoder stage. And the edge information is detected using the canny operator, and subsequently an interactive edge feature fusion block is designed to facilitate the edge information fusion of two images detected by the canny operator. In the decoder stage, a self-attention mechanism is used for image reconstruction to further improve the quality of image fusion. Extensive experiments show that our model achieves state-of-the-art level and performs well in both subjective perception and objective evaluation.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Qing Li and Man Huang "Multi-focus image fusion based on edge feature interaction and global reconstruction", Proc. SPIE 13253, Fourth International Conference on Signal Image Processing and Communication (ICSIPC 2024), 132530F (11 September 2024); https://doi.org/10.1117/12.3041212

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KEYWORDS

Image fusion

Feature extraction

Image enhancement

Feature fusion

Image quality

Convolution

Image processing

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