Image fusion is to synthesize two or more images into a new image through a specific algorithm. This technology has a basic system, which mainly includes: image preprocessing, image fusion algorithm, image fusion evaluation and fusion results. The level of image fusion system is divided into pixel level fusion, feature level fusion and decision level fusion. At present, most fusion algorithms focus on this level. Image preprocessing technology mainly includes two tasks: image denoising and image registration; Image fusion algorithm has developed from the initial simple fusion algorithm (weighted sum maximum method) to complex multi-resolution algorithm (pyramid, wavelet method, etc.). ); The performance evaluation of image fusion mainly includes two aspects: subjective evaluation and objective evaluation. Because there is no ideal image source in practice, the most reasonable evaluation is generally given by using easy-to-achieve evaluation criteria combined with subjective vision.

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