图像适应是指将图像按照不同的纵横比进行拉伸和压缩，以适应不同显示比例的显示终端（如手机、掌上电脑(personal digital assistant，PDA)、投影仪）的一种技术.研究基于视觉显著度的图像适应，具体实现分为视觉显著度的计算和图像的加权拉伸与压缩两个步骤.采用加权的稀疏表达残差来表示视觉显著度.在图像的加权拉伸与压缩中，提出一种对横向与纵向使用不同加权变化的快速算法，在保证图像处理效果的前提下，达到快速图像适应处理的效果.仿真实验结果表明，该方法对于实验图像具有鲁棒性和有效性.

Image retargeting is a technique of adapting images to different aspect ratio for various display terminals such as cellphone, personal digital assistant (PDA) and projector. This paper proposes a method to deal with the problem using visual saliency. The method includes two steps: computing a saliency map, and modifying the image to suit different aspect ratio. A novel visual saliency model is used. The model indicates the weighted sparse coding residual as visual saliency. In the step of weighted resizing, a fast algorithm is proposed. It is a fast image adaptive process with no obvious distortion. The experimental results indicate the robust and effectiveness of the proposed method with different images.