Abstract

This paper presents a comparative study of image fusion of MRI and CT images using various wavelet transforms. The fusion of the images is done by implementing a multi-resolution decomposition method with the help of various wavelets. Entropy, PSNR and MSE are the parameters that are used as performance metrics of the fusion done using various wavelets. The MRI and CT images are then fused using the select maximum fusion rule, since studies have shown that select maximum rule provides the best result. The final fused image is examined using the various performance metrics to evaluate which wavelet gives the best result.

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