Effective resizing of images should not only use geometric constraints, but consider the image content as well. According to the fact that it is not necessary that the image content in the middle is more important than on the border, the image resizing technology in view of content is becoming new hotspot in image retargeting domain. At first, this technology treat the area that attract the eyes as important region, but the area that not attract the people as unimportant district, then to the greatest extent maintain the important area but changing unimportant area in order to fit target image size. This technology is known as content-aware image resizing. Among all the algorithms relating to content-aware image retargeting, the status of SNS method is beyond all doubt, its inauguration and innovation is better than other methods. This text analyses the classical SNS algorithm and presents a improved algorithm basing on scale-and-stretch, in our experiment it is easy to see that our new method enhances the performance and makes better effect.
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