Saliency measures the low-level stimuli to human vision, and serves as an alternative to semantic image understanding. This paper presents a region enhanced scale-invariant saliency detection method. Our method constructs a scale-invariant saliency map from an image, segments the image into regions, and enhances the saliency map with the region information. Compared with previous methods, our method has advantages in providing robust scale-invariant saliency, giving meaningful region information for applications, and eliminating misleading high-contrast edges.