Research on image fusion method based on local energy and neighborhood information

Abstract

As an important branch in the field of image processing, image fusion has become one of the hot issues in research. For pixel-level image fusion, multi-scale multi-resolution decomposition has been widely used, but in the processing of lowfrequency sub-bands, because the averaging method is easy to lead to blurry fused images, contrast degradation and other issues, a low-frequency sub-band fusion method based on regional energy is proposed; For high-frequency subbands, the influence of their neighborhood coefficients is also considered while the coefficients themselves are considered. The fusion experiment of the registered image and the evaluation of the fusion image show that the method in this paper fully preserves the high-frequency edges and details of the image while preserving the image contour.