%0 Journal Article
	%A Sudipta Majumdar and  Jayant Bharadwaj
	%D 2014
	%J International Journal of Computer and Information Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 90, 2014
	%T Feature Level Fusion of Multimodal Images Using Haar Lifting Wavelet Transform
	%U https://publications.waset.org/pdf/9998893
	%V 90
	%X This paper presents feature level image fusion using Haar lifting wavelet transform. Feature fused is edge and boundary information, which is obtained using wavelet transform modulus maxima criteria. Simulation results show the superiority of the result as entropy, gradient, standard deviation are increased for fused image as compared to input images. The proposed methods have the advantages of simplicity of implementation, fast algorithm, perfect reconstruction, and reduced computational complexity. (Computational cost of Haar wavelet is very small as compared to other lifting wavelets.)

	%P 1023 - 1027