In the past several years

for displaying high resolution images on a limited screen

image retargeting has obtained more attention in the academic and industrial communities. Plenty of previous work used different importance maps to acquire optimal image resizing results. In order to realize the objective

which is to dispose the valueless information

of retargeting

we employ an image information redundancy analysis to guide the resizing process. First

we introduce an image decomposition framework to separate the high gradient redundant regions. Thereafter

we introduce a texture gradient to analyze the texture redundancy. Lastly

we show that the proposed texture gradient is also suitable not only for cartoon image analysis

but also for applying existing retargeting process to deal with non-photo realistic photos. Experimental results show that insensitively to the retargeting framework

our method is quite robust of the images with complex scenes or of multiple objects.