摘要
针对传统线裁剪方法对图像过度裁剪造成失真的问题,该文提出一种基于图像分块的线裁剪方法。该方法把分块的思想融入到线裁剪并优化累积能量图,能在一定程度上保护图像主体区域,又兼顾背景区域的裁剪效果。分块是根据显著图的平均列累加能量向量按照逐列标记的方式把图像分成保护区域和非保护区域,再根据每个区域的面积来分配裁剪线的数目。在裁剪过程中,优化了累积能量图,降低了小面积显著主体被裁剪掉的可能性。在MSRA数据库上与目前流行的线裁剪及其改进的方法进行对比,并把各种方法得到的缩放结果图在互联网上进行主观评价测试,实验结果表明该文方法具有更好的主观缩放效果,对各类图像的缩放具有普适性。
For the image distortion of over-carved, this paper proposes a modified Seam Carving （SC） method based on image blocking. Images are segmented into protected and non-protected blocks according to the labelled averaged column summation energy vectors, and then each block is allocated the corresponding carving seams. Moreover, the cumulative energy map is optimized in order to reduce the possibility of the small significant regions to be cut off. This paper fused blocking with the SC method, and optimized the cumulative energy map, which can make a carving balance between the object and background parts. In the MSRA database, the proposed algorithm are compared with the SC method and its improved methods. The experimental results are evaluated on the Internet to test their subjective perceptions, which shows that the proposed method has a better subjective perception, and a general applicability for different images.
出处
《电子与信息学报》
EI
CSCD
北大核心
2018年第2期331-337,共7页
Journal of Electronics & Information Technology
基金
国家自然科学基金(60302018)
天津市科技计划项目(14RCGFGX00846
15ZCZDNC00130)
河北省自然科学基金面上项目(F2015202239)~~
关键词
图像缩放
线裁剪
累加能量向量
分块
累积能量图
Image retargeting
Seam Carving （SC）
Summation energy vector
Blocking
Cumulative energy map
