Complementary information is provided in Medical images like PET, MRI, and CT. To make the correct diagnosis these images are fused and are providing additional information for clinical analysis. This paper proposes a new medical image fusion based on the combined effect of Discrete Wavelet Transfrom (DWT), and Discrete Ripplet Transform (DRT). The images are transformed at the start into multi-resolution image using 2-level DWT. The resultant images are transformed again using DRT. Applying the common and most fusion rule and inverse DRT, the united coefficients of the approximation image is obtained by applying inverse DWT to the united coefficients. The performance of the united image is evaluated using metrics like PSNR, Entropy, Standard Deviation, and Structural Similarity Index measure and it outperforms the opposite existing ways.

Medical image fusion; Discrete Wavelet Transform; Discrete Ripplet Transform; Multiscale geometric analysis

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