ISCAS OpenIR
real time edit propagation by efficient sampling
Bie Xiaohui; Huang Haoda; Wang Wencheng
2011
SourceCOMPUTER GRAPHICS FORUM
ISSN0167-7055
Volume30Issue:7Pages:2041-2048
English AbstractIt is popular to edit the appearance of images using strokes, owing to their ease of use and convenience of conveying the user's intention. However, propagating the user inputs to the rest of the images requires solving an enormous optimization problem, which is very time consuming, thus preventing its practical use. In this paper, a two-step edit propagation scheme is proposed, first to solve edits on clusters of similar pixels and then to interpolate individual pixel edits from cluster edits. The key in our scheme is that we use efficient stroke sampling to compute the affinity between image pixels and strokes. Based on this, our clustering does not need to be stroke-adaptive and thus the number of clusters is greatly reduced, resulting in a significant speedup. The proposed method has been tested on various images, and the results show that it is more than one order of magnitude faster than existing methods, while still achieving precise results compared with the ground truth. Moreover, its efficiency is not sensitive to the number of strokes, making it suitable for performing dense edits in practice.; It is popular to edit the appearance of images using strokes, owing to their ease of use and convenience of conveying the user's intention. However, propagating the user inputs to the rest of the images requires solving an enormous optimization problem, which is very time consuming, thus preventing its practical use. In this paper, a two-step edit propagation scheme is proposed, first to solve edits on clusters of similar pixels and then to interpolate individual pixel edits from cluster edits. The key in our scheme is that we use efficient stroke sampling to compute the affinity between image pixels and strokes. Based on this, our clustering does not need to be stroke-adaptive and thus the number of clusters is greatly reduced, resulting in a significant speedup. The proposed method has been tested on various images, and the results show that it is more than one order of magnitude faster than existing methods, while still achieving precise results compared with the ground truth. Moreover, its efficiency is not sensitive to the number of strokes, making it suitable for performing dense edits in practice.
Indexed TypeSCI
DepartmentBie Xiaohui; Wang Wencheng Chinese Acad Sci Inst Software State Key Lab Comp Sci Beijing 100864 Peoples R China. Bie Xiaohui Chinese Acad Sci Grad Univ Beijing 100864 Peoples R China.
SubjectComputer Science
SponsorshipNSFC60773026, 60873182, 60833007
Language英语
WOS IDWOS:000296915400019
Citation statistics
Content Type期刊论文
URIhttp://ir.iscas.ac.cn/handle/311060/16074
Collection中国科学院软件研究所
Recommended Citation
GB/T 7714
Bie Xiaohui,Huang Haoda,Wang Wencheng. real time edit propagation by efficient sampling[J]. COMPUTER GRAPHICS FORUM,2011,30(7):2041-2048.
APA Bie Xiaohui,Huang Haoda,&Wang Wencheng.(2011).real time edit propagation by efficient sampling.COMPUTER GRAPHICS FORUM,30(7),2041-2048.
MLA Bie Xiaohui,et al."real time edit propagation by efficient sampling".COMPUTER GRAPHICS FORUM 30.7(2011):2041-2048.
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