Wavelet-Based Weighted Average and Human Vision System Image Fusion

Image fusion is one of the most important techniques to enhance image information. The fused image is more suitable for image processing. The novel pixel level image fusion schemes are presented based on multi-scale decomposition. The wavelet coefficients of image are chosen according to the image fusion operators and different fusion rules. Experiments of multi-spectral image and high-resolution panchromatic images are given. It shows that the wavelet-based human visual system method can achieve better fusion performance than others.