The goal of infrared and visible image fusion is to generate an informative image which
preserves texture details and infrared targets. Most generative adversarial network (GAN) …

Infrared and visible image fusion aims to generate the desired fusion image by fusing
complementary images from different sensors. Artificially generated images are more …

Infrared and visible image fusion can capture multi-modal features and generate an
informative fused image. However, most existing encoder and decoder-based fusion …

Infrared and visible image fusion is a typical cross-modal information enhancement
technology, which aims to fetch the complementary cues from different sensors to …

Image fusion is a visual enhancement technique that combines source images from different
sensors to produce a more robust and informative fused image for subsequent processing or …

Differences in the imaging mechanisms of infrared and visible light images lead to
differences in the way their visually meaningful gradients are formed. Existing fusion …

Infrared and visible image fusion techniques have emerged as powerful methods to harness
the unique advantages of diverse sensors, resulting in improved image quality through the …

Infrared image and visible image fusion (IVIF) is a research direction that is currently
attracting much attention in the field of image processing. The main goal is to obtain a fused …

摘要为增**红外与可见光图像融合可视性, 克服红外与可见光图像融合结果中细节丢失,
目标不显著和对比度低等问题, 提出一种基于二尺度分解和显著性提取的红外与可见光图像融合 …

摘要橋梁檢測可使用紅外熱影像顯示其內部劣損, 但難辨別劣損位置, 將其與可見光影像融合,
即可獲得影像細節及溫度異常處. 本研究使用小波融合(WT), 拉普拉斯金字塔轉換(LP) …