Fusion and restoration of images from their registration based on wavelet-derived gradient computations

摘要

Abstract: Two images of the same scene are sometimes corrupted by noise and different portions of them are blurred differently. In this paper, we proposed to use the techniques of image fusion and image restoration to improve the quality of the images. The proposed algorithms are aided by image registration, which estimates the matching parameters between the images to be registered. They are scale factor, angle of rotation and difference of locations. However, for the saving of computation time in the registration process, we apply the wavelet transform to perform a multi-resolution registration. The gradient that aids the searching of the feature points between the images to be registered is computed from the derivative operator derived from wavelet theory. Experimental results show that we can align and register the two original images successfully. Then, with fusion or restoration, a clearer version of the scene than that of the original images is obtained.!7