Imaging spectroscopy integrates traditional computer vision and spectroscopy into a single
system and has gained widespread acceptance as a non-destructive scientific instrument for …

Hyperspectral imaging enables many versatile applications for its competence in capturing
abundant spatial and spectral information, which is crucial for identifying substances …

Heterogeneous image fusion (HIF) techniques aim to enhance image quality by merging
complementary information from images captured by different sensors. Among these …

Hyperspectral imaging has attracted significant attention to identify spectral signatures for
image classification and automated pattern recognition in computer vision. State-of-the-art …

Hyperspectral images (HSIs) provide rich spectral information that has been widely used in
numerous computer vision tasks. However, their low spatial resolution often prevents their …

Modeling the spatial radiance distribution of light rays in a scene has been extensively
explored for applications, including view synthesis. Spectrum and polarization, the wave …

Multispectral (MS) imaging systems have a wide range of applications for computer vision
and computational photography tasks, but do not yet enjoy widespread adoption due to their …

Achieving practical full projector compensation requires the projection display to adapt
quickly to textured projection surfaces and unexpected movements without interrupting the …

Hyperspectral imaging (HSI) has recently emerged as a promising tool for various
agricultural applications. However, high equipment cost, instrumentation complexity, and …

Portrait‐background image composition is a widely used operation in selfie editing, video
meeting, and other portrait applications. To guarantee the realism of the composited images …