Fusion of Multifocus Images Based on the Nonsubsampled Contourlet Transform
一种基于非下采样Contourlet变换多聚焦图像融合算法

Focusing on the deficiencies of existing wavelet based algorithm, a novel algorithm for multifocus images fusion based on the nonsubsampled contourlet transform (NSCT) is proposed. And, the concepts of the local area visibility (LAVI) and the local oriented energy (LOE) are introduced in the contourlet domain. The selection principle of the low frequency subband coefficients based on the LAVI and the selection principle of the bandpass directional subband coefficients based on the LOE are presented respectively. The experimental results demonstrate that the proposed algorithm, compared to the methods based on the discrete wavelet transform and the discrete wavelet frame transform, can effectively reduce the loss of the useful information and the introduction of the artificial information. In addition, the proposed algorithm can extract more useful information from the source images, and make the fused image with higher performance in terms of both visual quality and objective evaluation criteria.