Microcanonical optimization applied to visual processing

Abstract We introduce an optimization algorithm, based on Creutz's microcanonical simulation technique, which has proven very efficient for non-convex optimization tasks associated with image-processing applications. Our algorithm should also constitute a useful heuristic for applications in other domains requiring combinatorial optimization searches.