新线路能量函数下基于线裁剪的图像自适应缩放  

Seam Carving Based Image Resizing with New Seam Energy Function

作　　者：聂栋栋[1] 马勤勇[2] 

机构地区：[1]燕山大学理学院,秦皇岛066004 [2]燕山大学信息科学与工程学院,秦皇岛066004

出　　处：《模式识别与人工智能》2014年第11期1040-1046,共7页Pattern Recognition and Artificial Intelligence

基　　金：国家自然科学基金项目(No.61133009;U1304616);河北省自然科学基金项目(No.A2011203053)资助

摘　　要：基于线裁剪的自适应缩放图像质量依赖于线路能量函数的定义以及线路提取的结果.提出一种新的线路能量函数以计算每条线路对视觉感知的重要性.该算法通过定义新增能量项衡量删除线路上像素点后图像局部区域的走样变形,并引入最大像素能量项降低随机纹理区的线路能量.实验结果证明,与其它几种经典算法相比,采用新能量函数提取的线路定位更为合理,处理结果与原始图像更相似,重点对象细节部分走样的问题也更少.The image quality of seam carving based image resizing method heavily depends on the definition of seam energy function and the result of seam extraction. A seam energy function is proposed to calculate the visual perception importance of each seam, in which an incremental energy term is defined to measure the local image aliasing after seam pixels are deleted, and a maximum pixel energy term is introduced to reduce the seam energy of random texture regions. The experimental results show that compared with several other classical methods, the proposed energy function have more reasonable location, its results are more similar to the original images, and it has fewer aliasing problems in the details of images key objects.

关 键 词：图像自适应缩放 线裁剪 能量函数 线路提取 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]