Adaptive image fusion technology based on ICA (independent component analysis)

This paper presents a study of adaptive fusion algorithms which based on Independent Component Correlation Algorithm (ICA). The algorithm process can be divided into two processes which are training and the integration. In the training phase, the two-dimensional image information is converted to one-dimensional information; one-dimensional vector will be decomposition by adopting ICA. Obtain separation matrix, the integration phase, based on adaptive algorithm, the separation factor obtained in the training process, to give a new integration coefficient by using the new fusion coefficient matrix to restore the image fusion, the resulting image will be clearer.