Bottom-Up Saliency Estimation Based on Redundancy Reduction and Global Contrast  

作　　者：缪小冬 李舜酩 沈峘 李爱婷 

机构地区：[1]College of Mechanical and Power Engineering,Nanjing University of Technology [2]College of Power and Energy,Nanjing University of Aeronautics and Astronautics [3]College of Electronic and Information Engineering,Nanjing University of Aeronautics and Astronautics

出　　处：《Transactions of Nanjing University of Aeronautics and Astronautics》2014年第6期660-667,共8页南京航空航天大学学报（英文版）

基　　金：Supported by the China Postdoctoral Science Foundation(2011M500917);the Jiangsu Innovation Program for Graduate Education(CXLX11_0180)

摘　　要：A new algorithm for bottom-up saliency estimation is proposed.Based on the sparse coding model,a power spectral filter is proposed to eliminate the second-order residual correlation,which suppresses the global repeated items effectively.In addition,aiming at modeling the mechanism of the human retina prior response to high-contrast stimuli,the effect of color context is considered.Experiments on the three publicly available databases and some psychophysical images show that the proposed model is comparable with the state-of-the-art saliency models,which not only highlights the salient objects in a complex environment but also pops up them uniformly.A new algorithm for bottom-up saliency estimation is proposed. Based on the sparse coding model, a power spectral filter is proposed to eliminate the second-order residual correlation, which suppresses the global repeated items effectively. In addition, aiming at modeling the mechanism of the human retina prior response to high-contrast stimuli, the effect of color context is considered. Experiments on the three publicly available databases and some psychophysical images show that the proposed model is comparable with the state-of-the-art saliency models, which not only highlights the salient objects in a complex environment but also pops up them uniformly.

关 键 词：redundancy reduction~ global contrast~ saliencyl bottom-up sparse coding 

分 类 号：TP242.6[自动化与计算机技术—检测技术与自动化装置]