Research and Implementation of Image Fusion Algorithm Based on Wavelet Transform
Image fusion is the important branch and research focus of intelligence fusion and it has been well applied in many areas such as military, remote sensing, robotics as well as intelligent transportation. This paper applies the time-frequency localization as well as directional characteristics of wavelet transform and conducts sub-tree partition on the decomposed high-frequency coefficient to improve the contrast gradient of the image, regarding the sub-tree as a unit. This method is achieved under the VC environment. Finally, the analysis of performance indicators such as simulation experiments, entropy and average gradient shows that the algorithm can effectively reduce the distortion of blending image and it is an effective image fusion algorithm.
K. Ling "Research and Implementation of Image Fusion Algorithm Based on Wavelet Transform", Advanced Materials Research, Vol. 187, pp. 683-687, 2011