Improving binary phase-only filter distortion invariance by direct phase iterations

Investigations of an algorithm using direct iteration of binary phase states to approach the goal of correlation response uniformity across an arbitrary training set are reported. The approach is applied to a real-world filter design case involving 180 training set images and is compared to other methods (e.g., the Jared-and-Ennis approach) in terms of both effectiveness and computational demands. Concepts to improve and extend the approach and to integrate it with other BPOF (TPAF) optimization techniques that adjust the region of support are suggested.