Video coding using image warping within variable size blocks

Multi-Dimensional, Multi-Resolution Adaptive Processing in the BMDO Setting

“…In this section, five different constructions of CWT families will be considered as examples. They originate from the groups covering all the motions [3] and represent the action of Lie algebras and groups on manifolds. First, operators on wavelet and signal {n : L 2 (R 2 x R)} -+ L^R 2 x R)} will be defined with their respective set of parameters.…”

“…Classical algorithms for motion estimation are intrinsically based on approximations of a local gradient, which is typically calculated from a pair of image frames. As such, these techniques are highly sensitive to noise [2,4,3]. Another limitation of these techniques is their inability to handle occlusions.…”

“…A detailed description of the parameter optimization algorithm used for computing 5 and ~ß has been previously described so that only an overview is presented below. 3 The iterative algorithm is summarized by the following flowchart: The approximated error function minimized in Step 3 of the algorithm is given by:…”

“…Block matching techniques model motion in terms of a coarse block-translation representation, while optical flow methods rely on gradient approximations. These techniques, in general, are highly sensitive to noise [2,4,3], and cannot handle occlusions in a natural way.…”

Application of an adaptive control grid interpolation technique to morphological vascular reconstruction: a component of a comprehensive surgical planning and evaluation tool

“…Reconstruction methods customarily require a method for establishing a correlation between points in related images as a precursor to interpolation. We have developed a new technique to accomplish this task, whereby a modified form of control grid interpolation (CGI) is used to calculate vectors that describe pixel movement [3][4][5]. This technique provides us with an accurate morphological reconstruction suitable for importation into CFD software.…”