Abstract | ||
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Seam carving, an image re-targeting method, works by progressively finding and removing connected paths of low energy pixels in an image until a desired image aspect ratio is reached. In this paper, we first cast the problem of minimizing an energy function as that of minimizing a distortion cost. We then leverage on our understanding of image quality metrics/ distortion metrics in proposing a perceptually relevant energy function. Experimental results show that our proposed energy function can generate more desirable resized images in which the original structures of the images are better preserved. |
Year | DOI | Venue |
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2013 | 10.1109/ICASSP.2013.6637984 | ICASSP |
Keywords | Field | DocType |
perceptually relevant energy function,perceptual image quality metrics,connected path finding,image resizing,distortion,low energy pixels,energy function minimization problem,image retargeting method,context-aware image resizing,distortion metrics,image quality metrics,seam carving,image re-targeting,minimisation,image distortion metrics,image enhancement,connected path removal,image aspect ratio,distortion cost minimization,computer vision,image quality,shape | Computer vision,Aspect ratio (image),Mathematical optimization,Low energy,Pattern recognition,Computer science,Image quality,Seam carving,Minimisation (psychology),Pixel,Artificial intelligence,Distortion | Conference |
ISSN | Citations | PageRank |
1520-6149 | 2 | 0.37 |
References | Authors | |
11 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hui Li Tan | 1 | 76 | 7.42 |
Yih Han Tan | 2 | 140 | 13.87 |
Z. Li | 3 | 1578 | 164.19 |
Susanto Rahardja | 4 | 652 | 102.05 |
Chuohao Yeo | 5 | 692 | 42.48 |