The proposed JFDFusion method can stably preserve structural information and highlight key infrared targets across different scenes, providing high-quality inputs for subsequent visual perception tasks and achieves competitive subjective visual quality and objective evaluation performance.
Comparative experiments against eleven representative fusion methods on the MSRS and M3FD datasets show that SDC-Fusion ranks first in SSIM, VIF, Qabf, SF, and PSNR on MSRS, and first in SSIM, VIF, Qabf, SD, and PSNR on M3FD, while ranking second in the remaining two metrics on each dataset.
Xiao-Xia Wang, Shuang Guo, Fengbao Yang et al.· Italian National Conference...· 0 citations
A lightweight end-to-end IVIF network with two complementary refinement modules that achieves the best or tied-best value on three of seven standard fusion-quality metrics on FMB and four of seven on LLVIP, and ablation results further confirm the complementary effects of MSG and DGM.
Wenhua Zhao, Lei Zhong· Applied Sciences· 0 citations
Infrared and visible image fusion aims to effectively exploit the strength of the infrared modality in target saliency perception and the complementary capability of the visible modality in representing fine-grained texture details, which is crucial for complex scene understanding and downstream visual tasks. Existing...
Wenkuan Xie, Weiguo Pan, Jiancheng Zhang et al.· International Conference on...· 0 citations
Today, the use of increasingly ubiquitous synthetic media, or ‘deepfakes’, has become a risk to online trust, information integrity and individual security and is being created by artificial intelligence (AI). The current approaches are mainly based on either spatial features of CNNs or high-level semantic representati...
Wasin Alkishri, Shahid Kamal, Jabar H. Yousif· Information· 0 citations
Infrared and visible image fusion aims to integrate complementary information from different modalities to generate images with both salient targets and rich textures. However, existing methods mainly rely on spatial feature modeling and lack an explicit mechanism to exploit frequency-aware representations, limiting th...
Yufeng Li, Lei Yu, Chuanlong Xie et al.· Engineering Research Express· 0 citations
LGF-Net is proposed, a unified framework that jointly models spatial semantics and adaptive spectral cues for deepfake detection and achieves competitive intra-dataset and cross-dataset performance compared with several state-of-the-art deepfake detection methods.
