Image fusion based on steerable pyramid and PCNN

A new image fusion algorithm, based on steerable pyramid and Pulse Coupled Neural Network (PCNN), is proposed in this paper. First, original images are decomposed into several subbands of different levels and orientations by steerable pyramid. Then, low frequency subbands are fused by weighting and high frequency subbands are fused by PCNN. The fused image is obtained by inverse steerable pyramid transform. Results testify our approach in comparison with wavelets fusion in both subjective visual effect and objective evaluation criteria while using four different pairs of test images.