Super-resolution, the process of obtaining one or more high-resolution images from one or
more low-resolution observations, has been a very attractive research topic over the last two …

Numerous learning-based approaches to single image deblurring for camera and object
motion blurs have recently been proposed. To generalize such approaches to real-world …

This paper proposes an adaptive color-guided autoregressive (AR) model for high quality
depth recovery from low quality measurements captured by depth cameras. We observe and …

This paper addresses how to model and correct image blur that arises when a camera
undergoes ego motion while observing a distant scene. In particular, we discuss how the …

Depth captured by consumer RGB-D cameras is often noisy and misses values at some
pixels, especially around object boundaries. Most existing methods complete the missing …

Capturing high frame rate and high dynamic range (HFR&HDR) color videos in high-speed
scenes with conventional frame-based cameras is very challenging. The increasing frame …

The rapid development of 3D technology and computer vision applications has motivated a
thrust of methodologies for depth acquisition and estimation. However, existing hardware …

Motion deblurring from images that are captured in a scene with depth variation needs to
estimate spatially-varying point spread functions (PSFs). We tackle this problemwith a …

Camera shake during exposure time often results in spatially variant blur effect of the image.
The non-uniform blur effect is not only caused by the camera motion, but also the depth …

The plenoptic function is a ray‐based model for light that includes the colour spectrum as
well as spatial, temporal and directional variation. Although digital light sensors have greatly …