A Novel Technique for Merging of Multisensor and Defocussed Images using Multiwavelets

We present a novel method for merging of images from different sensors or defocussed images from same sensor. In this purposed method discrete multiwavelet transform (DMWT) has been used for decomposition. The advantages of DMWT is its sensitivity to different kinds of object features in images and it does precise image analysis than wavelet multiresolution analysis. The purposed algorithm assumed the images are registered from different sources. This has become of interest due to increasing number of sensors in various applications such as medical, surveillance, remote sensing and so on. Fusion is a technique of extracting best of inputs and conveying to the output. Fusion is achieved through the formation of fused pyramid with the DMWT coefficients from the decomposed pyramids of the source images. Coefficients are combined based on importance of the coefficient in the bands. The fused image is obtained through DMWT reconstruction process. Results obtained from purposed method significantly reduces distortion artifacts.