Algorithm for image fusion via gradient correlation and difference statistics

Jing Han; Li-juan Wang; Yi Zhang; Lian-fa Bai; Ningjie Mao

doi:10.1117/12.2246618

25 October 2016 Algorithm for image fusion via gradient correlation and difference statistics

Jing Han, Li-juan Wang, Yi Zhang, Lian-fa Bai, Ningjie Mao

Proceedings Volume 10157, Infrared Technology and Applications, and Robot Sensing and Advanced Control; 101571N (2016) https://doi.org/10.1117/12.2246618
Event: International Symposium on Optoelectronic Technology and Application 2016, 2016, Beijing, China

Abstract

In order to overcome the shortcoming of traditional image fusion based on discrete wavelet transform (DWT), a novel image fusion algorithm based on gradient correlation and difference statistics is proposed in this paper. The source images are decomposed into low-frequency coefficients and high-frequency coefficients by DWT: the former are fused by a local gradient correlation based scheme to extract the local feature information in source images; the latter are fused by a neighbor difference statistics based scheme to reserve the conspicuous edge information. Finally, the fused image is reconstructed by inverse DWT. Experimental results show that the proposed method performs better than other methods in reserving details.

Citation Download Citation

Jing Han, Li-juan Wang, Yi Zhang, Lian-fa Bai, and Ningjie Mao "Algorithm for image fusion via gradient correlation and difference statistics", Proc. SPIE 10157, Infrared Technology and Applications, and Robot Sensing and Advanced Control, 101571N (25 October 2016); https://doi.org/10.1117/12.2246618

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