Visual Saliency Detection Based on Deredundancy and Global Contrast
Huan Shen, Xiao Dong Miao, Yun Sheng Tan · Applied Mechanics and Materials · 2012
A new method for saliency detection is presented. Based on the sparse coding model, we propose a power spectral filter to eliminate the second-order residual correlation, which suppress the global repeated items effectively. In addition, aim to modeling the mechanism of the human retina prior response to high-contrast stimuli, the effect of color context is considered. Experimental result indicates that our method has high-quality detection performance with respect to the ability not only to highlight the salient objects in complex environment but also to pop up them uniformly.