Abstract
Image fusion involves combining two or more images to produce a single image with improved visual quality. This paper presents a discrete wavelet transform (DWT) image fusion methodology based on the intensity magnitudes of the wavelet coefficients and compares three variations of the DWT implemented separately in this fusion model. The image fusion model, using the decimated discrete wavelet transform (DDWT), the undecimated discrete wavelet transform (UDWT), and the dual tree discrete wavelet transform (DT DWT), is applied to multi-focus and multi-sensor images. The resulting fused images are compared visually and through root mean square error (RMSE) computations.
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