Edge-preserving image decomposition based on saliency map

A novel edge-preserving image decomposition based on saliency map is proposed to avoid halo phenomena in traditional image decompositions. Our method uses feature of saliency map that emphasizes salient edges in image to determine whether a region should be retained or processed, and then blur the image adaptively according to the local saliency average gradient. Experiments show that the proposed decomposition performs well in smoothing and enhancement. We compare our results with the guided filter and bilateral filter, and demonstrate a variety of applications including HDR and multi-scale enhancement.