Research on image fusion method based on local energy and neighborhood information

Ji Qi; HaiTao Yang; FengJie Zheng; Zhuo Kong

doi:10.1117/12.2661312

2 February 2023 Research on image fusion method based on local energy and neighborhood information

Ji Qi, HaiTao Yang, FengJie Zheng, Zhuo Kong

Proceedings Volume 12462, Third International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022); 1246221 (2023) https://doi.org/10.1117/12.2661312
Event: International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022), 2022, Xi'an, China

Abstract

As an important branch in the field of image processing, image fusion has become one of the hot issues in research. For pixel-level image fusion, multi-scale multi-resolution decomposition has been widely used, but in the processing of low frequency sub-bands, because the averaging method is easy to lead to blurry fused images, contrast degradation and other issues, a low-frequency sub-band fusion method based on regional energy is proposed; for high-frequency sub bands, the influence of their neighborhood coefficients is also considered while the coefficients themselves are considered. The fusion experiment of the registered image and the evaluation of the fusion image show that the method in this paper fully preserves the high-frequency edges and details of the image while preserving the image contour.

Citation Download Citation

Ji Qi, HaiTao Yang, FengJie Zheng, and Zhuo Kong "Research on image fusion method based on local energy and neighborhood information", Proc. SPIE 12462, Third International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022), 1246221 (2 February 2023); https://doi.org/10.1117/12.2661312

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KEYWORDS

Image fusion

Fusion energy

Image processing

Image sensors

Image enhancement

Image quality

Information fusion

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