Pyramid-based texture synthesis using local orientation and multidimensional histogram matching

One very influential method for texture synthesis is based on the steerable pyramid by alternately imposing marginal statistics on the image and the pyramid’s subbands. In this work, we investigate two extensions to this framework. First, we exploit the steerability of the transform to obtain histograms of the subbands independent of the local orientation; i.e., we select the direction of maximal response as the reference orientation. Second, we explore the option of multidimensional histogram matching. The distribution of the responses to various orientations is expected to capture better the local geometric structure. Experimental results show how the proposed approach improves the performance of the original pyramid-based synthesis method.