DocumentCode :
557861
Title :
Laplacian-based image retargeting with salient object magnified
Author :
Hu, Wenyu ; Luo, Zhongxuan ; Fan, Xin ; Zhang, Jielin
Author_Institution :
Sch. of Math. Sci., Dalian Univ. of Technol., Dalian, China
Volume :
4
fYear :
2011
fDate :
15-17 Oct. 2011
Firstpage :
1931
Lastpage :
1935
Abstract :
A compelling image retargeting approach aims at maintaining the important contents in the original image as much as possible, while minimizing the visual distortions on the image geometric structures. In this paper we present such an approach that succeeds in preserving the shape and size of the important contents and the geometric structures. We first encourage salient objects to be magnified by handling the scaling factor according to the corresponding saliency map. However, this may lead to over-magnification and distort the geometric structures (e.g. straight line and curve). We solve these problems by enforcing the deformed Laplacian coordinate of each grid vertex to be close to its original version, by which dramatic changes among neighboring quads are smoothed. All these constraints are integrated into a quadratic programming. The performance of the proposed approach is demonstrated by comparing with the state-of-the-art methods.
Keywords :
geometry; image processing; quadratic programming; Laplacian-based image retargeting; image geometric structures; image resizing; quadratic programming; saliency map; salient object; visual distortions; Image edge detection; Laplace equations; Quadratic programming; Shape; Smoothing methods; Visualization; Geometric Structure; Image Retargeting; Laplacian; Quadratic Programming;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing (CISP), 2011 4th International Congress on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9304-3
Type :
conf
DOI :
10.1109/CISP.2011.6100620
Filename :
6100620
Link To Document :
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