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基于图像分块和优化累积能量图的线裁剪算法

郭迎春 梁云鹤 于明 张婷婷

郭迎春, 梁云鹤, 于明, 张婷婷. 基于图像分块和优化累积能量图的线裁剪算法[J]. 电子与信息学报, 2018, 40(2): 331-337. doi: 10.11999/JEIT170501
引用本文: 郭迎春, 梁云鹤, 于明, 张婷婷. 基于图像分块和优化累积能量图的线裁剪算法[J]. 电子与信息学报, 2018, 40(2): 331-337. doi: 10.11999/JEIT170501
An Improved Seam Carving Algorithm Based on Image Blocking and Optimized Cumulative Energy Map[J]. Journal of Electronics & Information Technology, 2018, 40(2): 331-337. doi: 10.11999/JEIT170501
Citation: An Improved Seam Carving Algorithm Based on Image Blocking and Optimized Cumulative Energy Map[J]. Journal of Electronics & Information Technology, 2018, 40(2): 331-337. doi: 10.11999/JEIT170501

基于图像分块和优化累积能量图的线裁剪算法

doi: 10.11999/JEIT170501
基金项目: 

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)

An Improved Seam Carving Algorithm Based on Image Blocking and Optimized Cumulative Energy Map

Funds: 

The National Natural Science Foundation of China (60302018), The Sci-tech Planning Projects Foundation of Tianjin (14RCGFGX00846, 15ZCZDNC00130), The Natural Science Foundation of Hebei Province (F2015202239)

  • 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。
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出版历程
  • 收稿日期:  2017-05-24
  • 修回日期:  2017-10-13
  • 刊出日期:  2018-02-19

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