Multi-focus Image Fusion Algorithm Based On Prewitt Edge Detect Information Motivated PCNN

In this paper, a novel prewitt edges operator information in spatial domain is employed as one type of feature to motivate pulse coupled neural networks (PCNN) is proposed, according to humans are often sensitive to edges and directional features. Furthermore, blocked edges information measurement is employed to reduce the computing complexity. Experimental results on subjective and objective evaluation criterion demonstrate that the Prewitt edge operator information Motivated PCNN(Prewitt-PCNN) outperforms typical SML-CT, SF-NSCT-PCNN. NSCT and SCBG fusion algorithms.