Title :
Design of shapes for precise image registration
Author :
Bruckstein, Alfred M. ; O´Gorman, Larry ; Orlitsky, Alon
Author_Institution :
AT&T Bell Labs., Murray Hill, NJ, USA
fDate :
11/1/1998 12:00:00 AM
Abstract :
This correspondence deals with the problem of designing planar shapes for subpixel image registration. Basic theoretical considerations are shown to lead to a lower bound on location accuracy. Optimal registration marks achieving this bound are discussed. These optimal designs, however, require very high printing or etching resolution and are inherently very sensitive to variations in the image sampling model (like scaling of grid size and rotation). More robust, optimal and suboptimal “topology-preserving” registration marks are then introduced and analyzed
Keywords :
image registration; image sampling; optimisation; design of shapes; designing planar shapes; etching resolution; grid geometry; image sampling model; information theoretic precision bounds; location accuracy; optimal designs; optimal registration marks; precise image registration; rotation; scaling of grid size; subpixel image registration; topology-preserving registration marks; Digital images; Etching; Image registration; Image resolution; Image sampling; Information geometry; Lattices; Printing; Robustness; Shape;
Journal_Title :
Information Theory, IEEE Transactions on