Comparative Study of Different Wavelet Transforms in Fusion of Multimodal Medical Images

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 multiresolution 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.

[1]  A. Haar.  Zur Theorie der orthogonalen Funktionensysteme , 1910 .

[2]  Michael Unser,et al.  Continuous wavelet transform with arbitrary scales and O(N) complexity , 2002, Signal Process..

[3]  Gonzalo Pajares,et al.  A wavelet-based image fusion tutorial , 2004, Pattern Recognit..

[4]  Richard G. Baraniuk,et al.  Adaptive Wavelet Transforms for Image Coding , 1997 .

[5]  S. Mallat.  A wavelet tour of signal processing , 1998 .

[6]  Paul S. Fisher,et al.  Image quality measures and their performance , 1995, IEEE Trans. Commun..

[7]  Sweta K. Shah.  Comparative Study of Image Fusion Techniques based on Spatial and Transform Domain , 2014 .

[8]  Rick S. Blum,et al.  A categorization of multiscale-decomposition-based image fusion schemes with a performance study for a digital camera application , 1999, Proc. IEEE.

[9]  Tianjiao Zeng,et al.  Image Fusion Using Laplacian Pyramid Transform , 2014 .

[10]  S. Marsch,et al.  Four-dimensional wavelet compression of arbitrarily sized echocardiographic data , 2002, IEEE Transactions on Medical Imaging.

[11]  Pragati Upadhyay,et al.  PIXEL-LEVEL IMAGE FUSION USINGBROVEY TRANSFORME AND WAVELETTRANSFORM , 2013 .

[12]  B. S. Manjunath,et al.  Multisensor Image Fusion Using the Wavelet Transform , 1995, CVGIP Graph. Model. Image Process..

[13]  Piotr Porwik,et al.  The New Graphic Description of the Haar Wavelet Transform , 2004, International Conference on Computational Science.

[14]  Jean-Bernard Martens,et al.  Image dissimilarity , 1998, Signal Process..

[15]  A. Grossmann,et al.  DECOMPOSITION OF HARDY FUNCTIONS INTO SQUARE INTEGRABLE WAVELETS OF CONSTANT SHAPE , 1984 .

[16]  Akash Dwivedi,et al.  International Journal of Advanced Research in Electrical , Electronics and Instrumentation Engineering , 2017 .

[17]  Harald Haas,et al.  Asilomar Conference on Signals, Systems, and Computers , 2006 .

[18]  Myungjin Choi,et al.  A new intensity-hue-saturation fusion approach to image fusion with a tradeoff parameter , 2006, IEEE Trans. Geosci. Remote. Sens..