Title
Perceptually relevant energy function for seam carving
Abstract
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
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 Tan1767.42
Yih Han Tan214013.87
Z. Li31578164.19
Susanto Rahardja4652102.05
Chuohao Yeo569242.48