Image Mosaic and Hybrid Fusion Algorithm Based on Pyramid Decomposition

Abstract

Image mosaic and fusion is the key technology in the field of panoramic image. Aiming at the problems of ghosting and color change in the process of image fusion, this paper proposes an image mosaic and hybrid fusion algorithm based on pyramid decomposition. Firstly, the image is decomposed into Gauss pyramid by Gaussian decomposition; then the Laplacian pyramid of image is obtained by the difference operation based on the Gaussian pyramid; according to the characteristics of high-frequency component and low-frequency component of different decomposition layer, different fusion methods are selected for hierarchical fusion, that is, for the high-frequency component in the image, the local maximum variance criterion is selected for fusion, the low-frequency components are fused by weighted average algorithm. Finally, the reconstructed image is obtained by inverse Laplace transform. The improved algorithm can deal with the difference of brightness better in detail, ensure the active degree of color, and the fusion result has no ghosting phenomenon, and the transition is more smooth and natural.