To solve the image blur problem existed in multiple sources and multi-focus color image fusion algorithms, a novel fusion algorithm based on the quaternion curvelet transform was proposed. First, the traditional curvelet transform was generalized to a quaternion algebra from a real and complex number, and the definition of quaternion curvelet transform and its discrete algorithm were given. Then, the original color image was molded in a quaternion matrix form, and the quaternion-value of the image was analyzed in a multiresolution through quaternion curvelet transform. Furthermore, the “min, max” selection rule was adopted to form a multiresolution of the fused color image. Finally, the fused color image was obtained from the inverse quaternion curvelet transform. The competing multiple multifocus color image fusion methods and the proposed method were compared by the subjective and objective analysis. The experimental results indicate that the proposed method significantly solve the image blur problem, and its Image Sharpness Metric( ISM), Image Contrast Metric (ICM) and Color Colorfulness Metric( CCM) are raised considerably as compared with those of Bidimensional Empirical Mode Decomposition(BEMD)).