Lensless cameras offer significant advantages in size, weight, and cost compared to
traditional lens-based systems. Without a focusing lens, lensless cameras rely on …

In computer vision, it has long been taken for granted that high-quality images obtained
through well-designed camera lenses would lead to superior results. However, we find that …

Monocular RGBD imaging, also known as simultaneous all-in-focus (AiF) imaging and
monocular depth estimation (MDE), represents a significant yet challenging task in computer …

Feature detection and description are crucial for image matching, as better performance at
this stage leads to more accurate matching results, which is essential for subsequent vision …

End-to-end optimization, which simultaneously optimizes optics and algorithms, has
emerged as a powerful data-driven method for computational imaging system design. This …

Controllable Depth-of-Field (DoF) imaging commonly produces amazing visual effects
based on heavy and expensive high-end lenses. However, confronted with the increasing …

Hyperspectral imaging empowers computer vision systems with the distinct capability of
identifying materials through recording their spectral signatures. Recent efforts in data …

In this paper, we address the task of aberration-aware depth-from-defocus (DfD), which
takes account of spatially variant point spread functions (PSFs) of a real camera. To …

In computer vision, it has long been taken for granted that high-quality images obtained
through well-designed camera lenses would lead to superior results. However, we find that …