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细缝裁减和非均匀映射结合的图像自适应方法

曹连超 司农 高美琴 毋立芳

曹连超, 司农, 高美琴, 等 . 细缝裁减和非均匀映射结合的图像自适应方法[J]. 北京航空航天大学学报, 2012, (9): 1235-1239.
引用本文: 曹连超, 司农, 高美琴, 等 . 细缝裁减和非均匀映射结合的图像自适应方法[J]. 北京航空航天大学学报, 2012, (9): 1235-1239.
Cao Lianchao, Si Nong, Gao Meiqin, et al. Content aware image distance measure for joint use of seam carving and non-homogeneous warping[J]. Journal of Beijing University of Aeronautics and Astronautics, 2012, (9): 1235-1239. (in Chinese)
Citation: Cao Lianchao, Si Nong, Gao Meiqin, et al. Content aware image distance measure for joint use of seam carving and non-homogeneous warping[J]. Journal of Beijing University of Aeronautics and Astronautics, 2012, (9): 1235-1239. (in Chinese)

细缝裁减和非均匀映射结合的图像自适应方法

基金项目: 国家自然科学基金资助项目(61040052); 北京市优秀人才资助项目(2009D005015000010)
详细信息
  • 中图分类号: TN911.73

Content aware image distance measure for joint use of seam carving and non-homogeneous warping

  • 摘要: 采用将细缝裁减和非均匀映射相结合的图像尺寸自适应框架,提出了一种基于内容的图像重要信息变形的度量方法.首先提取原始图像的重要性像素点,利用细缝裁减去掉一条像素细缝后,相应的重要性像素点会被更新.对于图像中保留的重要性像素点,计算它们的子图像平均偏差(ADSI,Average Difference of Sub Images);对于被移除的重要性像素点,计算它们的平均丢失能量(ALE,Average Lost Energy).通过ADSI和ALE可计算出重要信息变形的度量函数(IIDF,Important Information Deformation Function)的值,通过分析IIDF的趋势得到细缝裁减的终止条件,然后改用非均匀映射方法(non-homogeneous warping)将图像自适应到目标尺寸.实验结果证明,新方法处理的结果图像重要区域变形较小,并且计算效率比较高.

     

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出版历程
  • 收稿日期:  2011-10-14
  • 网络出版日期:  2012-09-30

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