The steerable pyramid: a flexible architecture for multi-scale derivative computation

Eero P. Simoncelli, William T. Freeman

Abstract: We describe an architecture for efficient and accurate linear decomposition of an image into scale and orientation subbands. The basis functions of this decomposition are directional derivative operators of any desired order. We describe the construction and implementation of the transform.