IMPROVED IMAGE FUSION USING BALANCED MULTIWAVELETS (TueAmOR2)

Author(s) : Lahouari Ghouti (Queen's University of Belfast, United Kingdom) Ahmed Bouridane (Queen's University of Belfast, United Kingdom) Mohammad Ibrahim (King Fahd University of Petroleum and Minerals, Saudi Arabia)

Abstract : This paper presents the use of balanced multiwavelets for image fusion. The proposed image fusion scheme incorporates the use of balanced multiwavelets transform, which uses multiple wavelet and scaling functions for the first time. Wavelet-based fusion techniques have been successfully applied to combine perceptually important image features because the sensitivities of the human visual system (HVS) can be efficiently incorporated in the design of wavelets. Balanced multiwavelets have attracted attention for their desirable properties since they can simultaneously achieve symmetry, orthogonality, compact support and approximation order higher than one. Hence, filters with shorter length are used yielding lower computational complexity than scalar wavelet.

Menu