Robust Frequency-tuned Salient Region Detection

Detection of visually salient image regions has been of great research interest in recent years. It is useful for a wide range of applications such as object detection, video summarization and object segmentation. In this paper, we propose a modified method based on frequency-tuned (FT) model for salient region detection that outputs full resolution saliency maps with well-defined boundaries of salient objects. For FT model, saliency is considered as a distance to the mean spatial frequency content that is too simple for complex scenes and inconsistent with our usual sense. Our modified model, which called as Robust FT, following the assumptions of salient region, can get better saliency maps. We consider the mean spatial frequency content as background and formulate a much more robust model to descript it. By practical experiments, it is verified that our model obtains better results than original methods.