Loss of information in wavelet transform domain may occur while transmitting images represented in JPEG 2000. This produces artifacts like black holes, degraded edges and correlated damage patterns in received images. Recovering an image from its ...

MRF models have shown state-of-the-art performance for many computer vision tasks. In this work, we propose a non-local MRF model for image completion problem. The goal of image completion is to fill user specified "target" region with patches of "...

Blind deconvolution aims at reconstructing an image from its blurred and noisy version, when the blur kernel is not known. It has been acknowledged that the naive maximum aposteriori probability (MAP) algorithm favors a no-blur solution [3]. In [8] the ...

Scanners and other acquisition devices are commonly used to capture shapes of real objects as point clouds. Piecewise linear approximations of point clouds are then obtained by reconstruction algorithms. Generic reconstruction algorithms rely on ...

This paper presents a novel grammar-based GUI with an integrated back-end engine that enables accurate single view reconstruction with minimum supplementary information from the user. Our grammar allows a dynamic symbolic capture of constraints, which ...

This paper introduces an efficient technique to reconstruct the volume of human brain from low resolution MR image sequences acquired in sagittal, coronal and axial views. The algorithm uses image interpolation as the basis of volume reconstruction. It ...