关键词: 图像融合, Tetrolet变换, 模糊算子

Abstract: Aiming at the problems that the fused image information is incomplete and the contrast degree in the fused image is low, this paper proposes an improved Tetrolet transform images fusion algorithm based on fuzzy operator. Firstly, the images are converted to the high frequency coefficients and low frequency coefficients by the improved Tetrolet transform. For the low frequency coefficients, the neighborhood energy and proximity are introduced to the fusion rule. For the high frequency coefficients, a new kind of fuzzy fusion operator is adopted. According to local area features of high frequency coefficients in source images, the weights of corresponding coefficients are obtained through fuzzy reasoning. Then these coefficients are averaged to obtain the fused high frequency coefficients by the weights. Finally, the fused low frequency coefficients and high frequency coefficients are reconstructed by the inverse Tetrolet transform. The experimental results testify the algorithm validity on the images fusion.

Key words: multi-source images fusion, Tetrolet transform, fuzzy operator