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Reverse Seam Carving

Authors: Gang Pan; Weishu Li; Wei Bai; Jinyan Chen; Luyuan Li;

Reverse Seam Carving

Abstract

Seam carving is an effective operator supporting content-aware resizing for both image reduction and expansion. However, repeated seam removing and inserting processes lead to excessively distortion image when imposed on seam insertion then removal operations or the other way around. With considering the relationship between seam removing and inserting processes, we present an ameliorated energy function to minimize aliasing. "Forward Energy" is an effective improvement only to image reduction. Moreover, we propose a novel "Visual Points" structure which distinguish the "Forward Energy" of seam insertion from that of seam removal, and improve seam insertion operations greatly. Qualitative and quantitative experiments show that the proposed method can achieve high quality as compared to existed methods.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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