Multi-Focus Medical Image Fusion using Tetrolet Transform based on Global Thresholding Approach

In this paper Multi-focus medical image fusion algorithm based on the tetrolet transform with global thresholding approach was proposed. Tetrolet transform is successfully applied in the image de-noising, image sparse representation, and image restoration. In this paper, tetrolet transform was introduced into the field of medical image fusion since its sparse degree is high. Tetrolet can describe the geometric structural feature of the medical images very well. This paper compares the proposed image fusion algorithm to few similar image fusion algorithms based on the performance evaluation metrics like Entropy, Sharpness and PSNR.