Abstract
The goal of image fusion is to integrate complementary information from multisensor data such that the new image is more suitable for the purpose of human perception and computer processing tasks such as segmentation, feature extraction and object recognition. In this paper, we present an image fusion technique using the concept of information across the bands. This algorithm is relevant to visual sensitivity and tested by merging multisensor images. Defoucused and multispectral image merging are also tested. Fusion is achieved through the formation of one fused pyramid using the discrete wavelet transform (DWT) coefficients from the decomposed pyramids of the source images. The fused image is obtained through conventional DWT reconstruction process. Results obtained using the proposed method show a significant reduction of distortion artifacts and a large preservation of spectral information. Proposed method is less immune to noise compared to other methods. Fusion quality is objectively evaluated using performance measures.
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