Fusion of Medical Images based on Second Generation Wavelet Transform

Conference: International Conference on Soft Computing Applications in Wireless Communication
Author(s): Jappreet Kaur, Anupama Gupta, Akshay Girdhar Year: 2017
Grenze ID: 02.SCAWC.2017.1.543 Page: 362-365


The aim of the medical image fusion is to combine two or more medical images or some of their characteristics\ninto one image, without introduction of any noise or artifacts. The medical images such as computed tomography (CT) and\nmagnetic resonance imaging (MRI) are used widely for diagnosis and treatment. These images contain complementary\ninformation that needs to be combined in a single image for better quality and more information. Image fusion technique\nusing wavelet transform gives good results to yield more information without reducing the contrast of the obtained image.\nThe use traditional wavelet transform however involves high computational complexity and large storage requirements. The\nsecond generation wavelet transform i.e. lifting wavelets gives better results as compared to traditional wavelets.


SCAWC - 2017