Cluster-based saliency-guided content-aware image retargeting

Li Wei Kang*, Ching Yu Tseng, Chao Long Jheng, Ming Fang Weng, Chao Yung Hsu

*此作品的通信作者

研究成果: 雜誌貢獻期刊論文同行評審

摘要

Straightforward image resizing operators without considering image contents (e.g., uniform scaling) cannot usually produce satisfactory results, while content-aware image retargeting aims to arbitrarily change image size while preserving visually prominent features. In this paper, a cluster-based saliency-guided seam carving algorithm for contentaware image retargeting is proposed. To cope with the main drawback of the original seam carving algorithm relying on only gradient-based image importance map, we integrate a gradient-based map and a cluster-based saliency map to generate a more reliable importance map, resulting in better single image retargeting results. Experimental results have demonstrated the efficacy of the proposed algorithm.

原文英語
頁(從 - 到)141-146
頁數6
期刊Journal of Electronic Science and Technology
15
發行號2
DOIs
出版狀態已發佈 - 2017 6月 15
對外發佈

ASJC Scopus subject areas

  • 訊號處理
  • 電腦網路與通信
  • 電氣與電子工程

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