A comprehensive evaluation system for pixel level image fusion

Yuning Xie; Gang Liu; Rui Xu; Wenbin Zhang

doi:10.1117/12.2658165

20 October 2022 A comprehensive evaluation system for pixel level image fusion

Yuning Xie, Gang Liu, Rui Xu, Wenbin Zhang

Proceedings Volume 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022); 124512C (2022) https://doi.org/10.1117/12.2658165
Event: 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 2022, Chongqing, China

Abstract

Establishing an accurate and effective quality evaluation system is very important in the practical application and development of image fusion technology in various fields. In the field of image fusion, there is no systematic evaluation system. In order to solve these problems, this paper uses a number of different objective evaluation indicators to design a set of fused image comprehensive evaluation system. The quality of fused results can not only comprehensively evaluate the advantages of the algorithm but also be used as an information feedback mechanism to optimize and improve the image fused algorithm. Through the evaluation and analysis of six image fusion methods, the rationality of the evaluation system is verified.

Citation Download Citation

Yuning Xie, Gang Liu, Rui Xu, and Wenbin Zhang "A comprehensive evaluation system for pixel level image fusion", Proc. SPIE 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 124512C (20 October 2022); https://doi.org/10.1117/12.2658165

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KEYWORDS

Image fusion

Image quality

Single crystal X-ray diffraction

Image analysis

Visualization

Neural networks

Convolution

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