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基于圖像分塊和優(yōu)化累積能量圖的線裁剪算法

郭迎春 梁云鶴 于明 張婷婷

郭迎春, 梁云鶴, 于明, 張婷婷. 基于圖像分塊和優(yōu)化累積能量圖的線裁剪算法[J]. 電子與信息學報, 2018, 40(2): 331-337. doi: 10.11999/JEIT170501
引用本文: 郭迎春, 梁云鶴, 于明, 張婷婷. 基于圖像分塊和優(yōu)化累積能量圖的線裁剪算法[J]. 電子與信息學報, 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

基于圖像分塊和優(yōu)化累積能量圖的線裁剪算法

doi: 10.11999/JEIT170501
基金項目: 

國家自然科學基金(60302018),天津市科技計劃項目(14RCGFGX00846, 15ZCZDNC00130),河北省自然科學基金面上項目(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: 針對傳統(tǒng)線裁剪方法對圖像過度裁剪造成失真的問題,該文提出一種基于圖像分塊的線裁剪方法。該方法把分塊的思想融入到線裁剪并優(yōu)化累積能量圖,能在一定程度上保護圖像主體區(qū)域,又兼顧背景區(qū)域的裁剪效果。分塊是根據(jù)顯著圖的平均列累加能量向量按照逐列標記的方式把圖像分成保護區(qū)域和非保護區(qū)域,再根據(jù)每個區(qū)域的面積來分配裁剪線的數(shù)目。在裁剪過程中,優(yōu)化了累積能量圖,降低了小面積顯著主體被裁剪掉的可能性。在MSRA數(shù)據(jù)庫上與目前流行的線裁剪及其改進的方法進行對比,并把各種方法得到的縮放結(jié)果圖在互聯(lián)網(wǎng)上進行主觀評價測試,實驗結(jié)果表明該文方法具有更好的主觀縮放效果,對各類圖像的縮放具有普適性。
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  • 被引次數(shù): 0
出版歷程
  • 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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