A content-aware image resizing method with prominent object size adjusted
Meiling Shi, Lei Yang, Guoqin Peng, Dan Xu · 2010
A novel method that prominent object size can be controlled during image resizing is proposed in this paper. By a simple parameter adjustment, this new method can change the primary object size according to user preference. To accomplish this, we present a new quad distortion energy criterion by considering both the shape and the size of a quad. Moreover, we improve the single resolution visual attention model based on the rarity of features to a multiresolution saliency model. Then, redefine the significance map as the weighted average of this multi-resolution saliency result and gradient magnitude.