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Algorithms based on gradient using wavelet transform for image fusion only consider high-frequency information changes of the images, and to some extent neglect the richness of high-frequency information. To solve this problem, a new kind of image fusion algorithm based on gradient and energy is proposed. The algorithm takes into account the changes in high-frequency information and the richness of high-frequency information, effectively guarantees the richness of image information. When the high-frequency coefficients of the two images change significantly in one region, we use gradient for decision-making in the region. When the high-frequency coefficients of the two images do not change significantly in the region, we use energy of the high-frequency for decision-making in the region. In addition the method which uses local statistics to select a single point is proposed which is more flexible and better in reflecting the characteristics of the image information than the tradition regional fusion.
Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on (Volume:4 )
Date of Conference: 20-22 Nov. 2009