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 |
卷 | 15 |
發行號 | 2 |
DOIs | |
出版狀態 | 已發佈 - 2017 6月 15 |
對外發佈 | 是 |
ASJC Scopus subject areas
- 訊號處理
- 電腦網路與通信
- 電氣與電子工程