Invariant image reconstruction from irregular samples and hexagonal grid splines
We present an algorithm for the reconstruction of images from irregularly placed samples, using linear splines with control points on a hexagonal grid. Several spline approximations are computed for different transformations of the control point grid (e.g. translations and rotations). These approximations are then merged together after compensation of the transformations, yielding a high-quality invariant image reconstruction. Evaluations show that the use of hexagonal grids of the invariance by integration principle improves reconstruction quality. An application to image coding is also presented.
image reconstruction hexagonal grids image compression hexagonal splines nonuniform sampling bio-inspired approaches