Image Fusion Based on Biorthogonal Wavelet Transform Using Absolute Maximum Fusion Rule

Electronics Engineering

In this work, I am proposing method of image fusion uses the biorthogonal wavelet transform for decomposing and reconstruction of the source images. The overall fusion scheme based on biorthogonal wavelet transform .Firstly, we decompose source images of same scene using Biorthogonal wavelet transform (BWT) and then coefficients obtained are merged using absolute maximum selection fusion rule. We have used wavelet and scaling functions used in BWT for decomposition of source images. The selection of proper wavelet for decomposition varies from application to application. Although vanishing moment and regularity (smoothness) of wavelet can be considered to decide wavelet function. For image fusion application, selection of wavelet with sufficient vanishing moment is desired. Therefore, we have used biorthogonal filters to get desired number of vanishing moments. The coefficients obtained by decomposition of source images are fused using absolute maximum fusion rule. Image fusion is the technique to combine relevant information from two or more than two images of the same scene into only one composite image that is more informative and which is mostly suitable for human and machine interaction.

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