Bio-inspired, Invariant Image Reconstruction from Irregularly Placed Samples
نویسندگان
چکیده
We present in this paper an algorithm inspired by the human visual system to reconstruct images from irregularly placed samples. This algorithm is based on linear spline approximations 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 and of the “invariance by integration” principle improves reconstruction quality.
منابع مشابه
Reconstruction of irregularly-sampled images by regularization in spline spaces
We are concerned with the reconstruction of a regularly-sampled image based on irregularly-spaced samples thereof. We propose a new iterative method based on a cubic spline representation of the image. An objective function taking into account the similarity to the known samples and the regularity of the function is minimized in order to obtain a good approximation. We apply the developed algor...
متن کاملPOCS-Based Image Reconstruction from Irregularly-Spaced Samples
This paper presents a method for the reconstruction of a regularlysampled image from its irregularly-spaced samples. Such reconstruction is often needed in image processing and coding, for example when using motion compensation. The proposed approach is based on the theory of projections onto convex sets. Two projection operators are used: bandwidth limitation and sample substitution. The appro...
متن کامل2D Image Reconstruction Using Natural Neighbour Interpolation
In this paper, we explore image reconstruction from irregularly spaced samples using natural neighbour interpolation. We sample the image irregularly using techniques based on the Laplacian or the derivative in the direction of the gradient. Local coordinates based on the Voronoi diagram are used in natural neighbour interpolation to quantify the \neighbourliness" of data sites. Then we use nat...
متن کاملNonuniform Image Reconstruction Using Multilevel Surface Interpolation
This paper describes a fast algorithm for nonuniform image reconstruction. A multiresolution approach is formulated to compute a C2-continuous surface through a set of irregularly spaced samples. The algorithm makes use of a coarse-to-fine hierarchy of control lattices to generate a sequence of surfaces whose sum approaches the desired interpolating surface. Experimental results demonstrate tha...
متن کاملParallel Processing and Bio-inspired Computing for Biomedical Image Registration
Image Registration (IR) is an optimization problem computing optimal parameters of a geometric transform used to overlay one or more source images to a given model by maximizing a similarity measure. In this paper the use of bio-inspired optimization algorithms in image registration is analyzed. Results obtained by means of three different algorithms are compared: Bacterial Foraging Optimizatio...
متن کامل