September 2026

X-ray computed tomography (CT) systems are inherently susceptible to ring artifacts, primarily caused by hardware imperfections such as inconsistent detector responses, uncertainties in X-ray source i

Hyperspectral imaging (HSI) has shown great potential in areas ranging from remote sensing to medical imaging due to its ability to capture detailed spectral information across hundreds of bands. Howe

Electrical Impedance Tomography is a non-invasive imaging modality that is radiation-free and cost-effective; yet, accurately estimating internal conductivity remains challenging due to its inherent i

Single-photon LiDAR (SP-LiDAR), with its extremely high sensitivity, is well suited for imaging in photon-sparse conditions and under strong background noise. However, most existing approaches rely on

Three-dimensional (3D) inverse synthetic aperture radar (ISAR) imaging significantly improves the target discriminability. However, in practical scenarios such as high sea states, the complex target m

In recent years, deep learning-based light field (LF) super-resolution (SR) methods have significantly improved LF image quality. However, most existing LFSR rely on fixed bicubic downsampling to cons