An image fusion method based on wavelet transform

Abstract

Abstract. In some researches of image fusion, the wavelet transform (WT) often contribute more useful information. The objective of image fusion is to combine relevant information from two or more images of same scene into a single composite image, which is more informative. In this paper, an image fusion method based on wavelet transform (WT) is proposed. The different decomposition levels for image fusion based on WT are compared, by means of designing simulation experiments which can help us to find the most effective weighted factor of image fusion. The performance of the proposed method has been extensively tested, and simulation results show that the effectiveness of the fused image based on WT when the number of levels is available.

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“…Image fusion works by combining information from several images into a single image that is more suited for machine perception or image processing tasks like feature extraction and object recognition [17]. The image fusion using wavelet decomposition aims to combine the wavelet decompositions of the two original images of the same size using fusion methods applied to approximations and details coefficients [18].…”