A Review on Wavelet transform based image fusion and classification

ABSTRACT The goal of image fusion (IF) is to integrate complementary multisensory and multitemporal information into one new image containing information, the quality of which cannot be achieved otherwise. The term quality, its meaning and measurement depend on the particular application. The fusion techniques are broadly classified as spatial and transform domain methods. The spatial fusion techniques are resulted with spatial distortion and noise in the fused image. To overcome that transform domain methods such as discrete wavelet transform, contourlet and Curvelet are emerged as active research domain for fusion. An extensive overview on image fusion classification and wavelet based fusion techniques are presented in this paper