An Adaptive Multi-Focus Medical Image Fusion using Cross Bilateral Filter Based on Mahalanobis Distance Measure

In this paper the Cross Bilateral Filter is used to fuse source images with the help of Mahalanobis distance measure. The proposed image fusion algorithm directly fuses two source images of a same scene using weighted average. The proposed method differs from other weighted average methods in terms of weight computation and the domain of weighted average. Here, the weights are computed by measuring the strength of details in a detail image obtained by subtracting CBF output from original image. The weights thus computed are multiplied directly with the original source images followed by weight normalization. This paper compares the few similar image fusion algorithms by considering the performance evaluation metrics like Entropy, Standard Deviation, and PSNR.