Fusion of visible and infrared images based on multiple differential gradients. Issue 4 (23rd February 2020)

• Record Type: Journal Article
• Authors: Jiang, Jiawei; Liu, Lei; Wang, Liping; Shao, Wenbo; Yan, Yifan
• Is Part Of: Journal of modern optics. Volume 67:Issue 4(2020)
• Page Start: 329
• Page End: 339
• Publication Date: 2020-02-23
• Subjects: Image fusion -- visible light and infrared -- gradient image -- difference image; Optics -- Periodicals; 535
• DOI: 10.1080/09500340.2020.1718789
• Languages: English
• ISSNs: 0950-0340

Abstract

ABSTRACT: The ideal fusion of infrared and visible images is to preserve the details of the visible image as much as possible and superimpose important highlights of the infrared image on the visible image. Therefore, this paper proposes a multiple differential gradient method (MDG) that fuses the infrared image with the difference image of the visible light image and the gradient image of the infrared image. First, an image with comprehensive information is obtained through the difference between the infrared image and the visible image, and it is fused with the suppressed visible image. The new image obtained is then fused with the divergent image of the infrared gradient. Finally, the gray value of the visible image is compared with the new image, and the point with the larger gray value is selected to be fused into the new image. The result is better than most classical algorithms.