Evaluation and Simulation of Image Fusion Rules in Various Transforms

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This book includes various simulations on medical image database and natural image database. In this book author has nicely simulated various image fusion rules on basic to advance frequency domain. Author has selected five image data-set from large medical and natural database for simulation using various image fusion rules. This book mainly focuses on Averaging, Maximum Selection and PCA fusion rule in DWT, Contourlet transform and Ripplet transform. In the spatial domain, fusion rule is reforming with direct pixel value which is sensitive to human eyes. While in the frequency domain decomposition is done in various bands and due to that it over comes the problem of directly dealing with the pixel value. Hence frequency domain works better compare to the spatial domain. In this book simulation results show that DWT has poor directionality that can be improved with Contourlet transform. But Ripplet transform is having advance property like anisotropy, directionality and good localization so it gives more informative results for image fusion.


Keyur Brahmbhatt


Dr. Keyur N. Brahmbhatt is working as Associate professor and Head of Information Technology Department at BVM Engineering College, V.V.Nagar, Gujarat. He is B.E in information Technology, M.E in Computer Engineering and Ph.D in area of Image Processing. He has published more than 30 research papers in area of image processing, image fusion and data mining.


Ramji Makwana


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Publishing House:

LAP LAMBERT Academic Publishing


standard deviation, Normalized Cross Correlation, error rate, positron emission tomography, contourlet transform, Ripplet transform, DWT.

Product category:

MATHEMATICS / Functional Analysis