基于Curvelet变换与局部能量的图像融合算法

针对当前图像融合算法中边缘与细节特征表达不理想的问题,提出一种新的基于Curvele变换与局部能量的图像融合算法.该方法首先在不同的分辨率下将源图像转换为Curvelet系数集,然后引入局部能量融合规则将Curvelet系数进行结合,最后通过逆Curvelet变换得到融合图像.实验表明:本文算法所得的融合图像细节丰富、边缘清晰,且算法能够抵抗一定噪声的干扰,具有一定的应用价值.

The image fusion algorithm based on Curvelet transform coupling local energy

To solve the problem of unsatisfactory expression of edge and detail features in current image fusion algorithms, a new image fusion algorithm based on Curvelet transform and local energy is proposed. The method firstly converts the source image to a Curvelet coefficient set at different resolutions, then introduces local energy fusion rules, combines the Curvelet coefficients, and finally obtains a fused image through an inverse Curvelet transform. Experiments show that the fusion image obtained by this algorithm has rich details and clear edges, and the algorithm can resist the interference of certain noise, so the image fusion algorithm has a certain application value.