WAVELET BASED IMAGE FUSION

Abstract

A method for feature level image fusion for multimodal images in second generation wavelet domain ,that is lifting wavelet transform domain is proposed. The features fused are edge and boundary information of input images that is extracted using wavelet transform modulus maxima criterion. The image Fusion performance is evaluated by standard deviation, entropy and gradient parameters. Results shows that the purposed method gives better results for image fusion as image contrast, average information content and detail information of fused image are increased. This method has advantages of flexibility, saving of auxiliary memory, property of perfect reconstruction and simplicity.