Saliency filters: Contrast based filtering for salient region detection

Saliency estimation has become a valuable tool in image processing. Yet, existing approaches exhibit considerable variation in methodology, and it is often difficult to attribute improvements in result quality to specific algorithm properties. In this paper we reconsider some of the design choices of previous methods and propose a conceptually clear and intuitive algorithm for contrast-based saliency estimation. Our algorithm consists of four basic steps. First, our method decomposes a given image into compact, perceptually homogeneous elements that abstract unnecessary desed on this abstraction we compute two measures of contrast that rate the uniqueness and the spatial distribution of these elements. From the element contrast we then derive a saliency measure that produces a pixel-accurate saliency map which uniformly covers the objects of interest and consistently separates fore- and background. We show that the complete contrast and saliency estimation can be formulated in a uni...

• Type: Journal
• Year: 2012
• Where: CVPR
• Authors: Federico Perazzi, Philipp Krähenbühl, Yael Pritch, Alexander Hornung
• Keywords: Computer Vision, Conceptual Simplicity, Cvpr 2012, Design Choices, Linear Complexity