随着数码相机和智能手机的普及，数字图像的获取越来越便捷． 然而普通用户由于缺少专业摄影知识，拍摄的照片往往难以获得满意的效果． 为此，文中提出了一种综合考虑图像主体与背景构图规则的图像自动美学优化方法，根据三分法则和视觉平衡法则，采用主体提取、区域分隔线检测、基于样例的图像修复方法、细缝裁减法、主体重置等方法，通过图像主体位置、大小及背景区域划分的调整对图像进行美化． 实验结果表明，此方法能够在保护图像中的视觉不产生形变且保持图像信息不丢失的基础上，实现图像的构图美化．

With the prevalence of digital cameras and smart phones，people can acquire digital images more and more conveniently． However，normal users are not satisfied with their photos constantly because they are not fami-liar with the professional knowledge of photography． In order to solve this problem，an approach of image aesthetic enhancement，which takes into consideration both the subject and the background layout of an image，is presented．
According to the rules of trisection and visual balance，this approach retargets the subject and resizes the certain part of background in an image to enhance image aesthetic quality by means of subject extraction，region borderline detection，exemplar-based image inpainting，seam carving and subject retargeting． Experimental results show that the proposed approach can enhance the aesthetics of image composition without deforming the salient objects in an image and without losing any image information．