Quality Evaluation of Wavelet Fused Image by Using Factor Analysis Method
小波融合图像效果的因子分析评价方法

Factor analysis is a powerful way in the field of evaluation of fused image quality. In this paper, wavelet sym5 is used to decompose and construct image at different level. Factors of detail information and spectrum information lacking extracted by PCA(principal component analysis) are selected to objectively evaluate the fused image. Experimental results show that this approach can effectively analyze the variation trend of detail information(such as entropy and definition) and spectrum information(such as Distortion coefficient and Deviation coefficient) of the fused images. Variation of factor integrated score and audience evaluation effect is the same. Therefore theoretic analysis results and visual effect of fused image are in accordance with effect analyzed by using factor analysis approach.