Content-Aware Image Retargeting Using Optimization Grid Deformation

We built an effective global optimization model of image retargeting based on grid deformation。This model introduces a series of energy functions that prevent important grid deforming 。The proposed approach allows resizing images into arbitrary aspect ratio while protecting visually prominent area and retaining the global information as much as possible，in order to give users the best experience of browsing image。In addition，we achieved that goal that important grid distribute densely by establishing the optimization model of partitioning the initial grid in the original image，reducing the artifacts on the boundary of the prominent object 。A number of comparison experiments show that our method performs better than state-of-the-art approaches。