Project Description:
Image retargeting aims to resize an image to one
with prescribed aspect ratio. Simple scaling inevitably introduces unnatural
geometric distortions on the important contents of the image. In this paper, we
propose a simple and yet effective method to resize an image, which preserves
the geometry of the important content, using quasiconformal theories. Our
algorithm allows users to interactively identify content regions as well as line
structures. Image resizing can then be acheived by warping the
image by an orientation-preserving homeomorphism with controlled distortion. The
warping map is represented by its Beltrami representation, which captures the
local geometric distortion of the map. By carefully setting the values of the
Beltrami representation, we propose three methods to resize an image for
different situations. Our method is simple and does not require solving any
optimization problems throughtout the process. This results in a simple and
efficient algorithm to solve the image retargeting problem. Experiment results
demonstrate the efficacy of our proposed method.
Publication: