High resolution biologically inspired salient region detection
Yusuf Saber, Matthew J. Kyan · 2011
This paper presents a novel method for salient region detection. With the same biologically inspired logic as Itti et al., we use wavelet decomposition to obtain a 'centre' scale, and filtered versions of the original image for the 'surround' scale. Our method yields saliency map that is of the same resolution of the investigated image, with a detailed outline and high- light of the salient object. Previous methods are discussed in detail and comparisons are made as a validation process for our method.