Abstract: Image retargeting techniques aim to adapt images to the target screens with different sizes and aspect ratios. This has been one of the hot topics in multimedia research. Its key is to highlight important areas, keep continuity and avoid twists. This paper presents a novel image retargeting method. Based on human visual attention, energy map and sensitivity energy maps are calculated by salient region features and weighted contour features, respectively. Thus, in the process of scaling these low-energy lines of the non-important content are deleted or inserted in order to avoid the important part of the image distortion. The experimental results show that the method has a good anti-distortion performance in the ranks of non-proportional scaling.

Key words: image retargeting, content-aware, low-energy line

摘要： 图像显示适应面临展示面积受限、长宽比不固定等问题，已经成为多媒体领域的研究热点之一。关键是收缩后能够凸显图像重要区域，保持连续，避免扭曲。提出了一种基于区域轮廓能量的图像显示适应算法，通过对图像的视觉显著度分析，得到符合人类视觉的图像区域轮廓能量分布图。这样，在缩放过程中，删除或复制表示非敏感内容的低能量线，并且在显示图像内容的同时突出图像中的显著区域。实验结果表明，该方法保持了图像中显著目标的原始比例，具有很好的抗畸变性能。

关键词: 图像适应, 内容感知, 低能量线