MSE被用于图像融合评价函数的文献
时间: 2023-06-24 09:05:16 浏览: 52
以下是一些使用MSE作为图像融合评价函数的文献:
1. J. Tian, L. Chen, and J. Ma, "Image fusion assessment based on mutual information and mean squared error," Infrared Physics & Technology, vol. 53, no. 6, pp. 398-406, 2010.
2. X. Liu, Y. Wang, Y. Zhang, and X. Liu, "A novel image fusion metric based on mean squared error and gradient magnitude similarity," Optik - International Journal for Light and Electron Optics, vol. 127, no. 16, pp. 6390-6394, 2016.
3. H. Zhang, K. Ma, and W. Liu, "A novel image fusion metric based on visual attention and mean squared error," Multimedia Tools and Applications, vol. 77, no. 9, pp. 11647-11662, 2018.
4. C. Yang, Y. Zhang, J. Wang, and J. Li, "Image fusion quality evaluation based on multiscale entropy and mean squared error," Journal of Electronic Imaging, vol. 28, no. 6, pp. 063004-1-063004-8, 2019.
这些文献中使用MSE作为图像融合评价函数的主要原因是MSE是一种简单而有效的衡量图像差异度量标准,且易于实现。但是,MSE作为评价函数并不能完全代表图像融合的质量,更多的评价方法和指标需要结合实际应用场景进行选择和设计。