An adaptive image fusion algorithm based on wavelet transform

Aiming at present fusion methods, worse tradeoff between spectrum information and spatial details, the paper establishes the image content self-adaptation fusion rules and conformability choice criteria, and realizes the fusion system between multi-spectral and panchromatic remote sensing images. The fusion images are evaluated by subjective and objective methods. The paper subjectively appraises the fusion images on how to improve the discrimination between objects and background, and the recognition efficiency. The fusion effect is objectively analyzed by spectrum resolution and definition. The experimental data show that this algorithm makes the best of spatial detail feature, image edge and directional feature information for panchromatic images, retains spectrum information for multi-spectral images, achieves better visual quality, and it is in favor of information extraction and image interpretation. The experiments prove that this algorithm is better than IHS and traditional dyadic wavelet fusion methods in spectrum maintenance and spatial detail reservation.