Utilizing the contourlet′s advantages of multiscale, localization, directionality and anisotropy, a multifocus image fusion algorithm based on directional windows statistics in contourlet domain is developed. Source images are firstly decomposed to the domain of the contourlet transform, then the image fusion is implemented in subbands with different scale and direction combining with region statistics. Regional variance and local energy are adopted as fusion rules in lowpass and highpass subbands, respectively. And the fused image is obtained through inverse transform. Compared to traditional gradient pyramid algorithm and wavelet based algorithm, experimental results show that the directional windows method can detect image features more effectively and the fused image has better subjective visual effect.