We introduce a technique to fill large holes in LiDAR data sets. We combine concepts from patch-based image inpainting and gradient-domain image editing to simultaneously fill b...
This paper proposes a novel sparse representation model called centralized sparse representation (CSR) for image restoration tasks. In order for faithful image reconstruction, it ...
Several attempts have been lately proposed to tackle the
problem of recovering the original image of an underwater
scene using a sequence distorted by water waves. The
main draw...
Omar Oreifej, Guang Shu, Teresa Pace, and Mubarak ...
An image reconstruction algorithm using compressed sensing (CS) with deterministic matrices of second-order ReedMuller (RM) sequences is introduced. The 1D algorithm of Howard et ...
Abstract--Electrical impedance tomography (EIT) is a developing imaging modality that is beginning to show promise for detecting and characterizing tumors in the breast. At Renssel...
This work focuses on tomographic image reconstruction in experimental fluid mechanics (TomoPIV), a recently established 3D particle image velocimetry technique. Corresponding 2D im...
In this paper we present a novel 3D surface and image reconstruction method based on the off-axis aperture camera. The key idea is to change the size or the 3-D location of the ap...
An asynchronous transfer mode (ATM) wireless network has bursty and high error rates. To combat the contiguous bit loss due to damaged or dropped packets, this paper presents a cod...
Image reconstruction from a fiducial collection of scale space interest points and attributes (e.g. in terms of image derivatives) can be used to make the amount of information co...
Frans Kanters, Martin Lillholm, Remco Duits, Bart ...