Salient region preservation for image deformation

Yong Zhang; Jianhuang Lai; Pong C. Yuen; Xiaohua Xie

doi:10.1117/1.JEI.23.6.063012

8 December 2014 Salient region preservation for image deformation

Yong Zhang, Jianhuang Lai, Pong C. Yuen, Xiaohua Xie

Author Affiliations +

Funded by: National Science Foundation of China, Key Lab of Digital Signal and Image Processing of Guangdong Province

Journal of Electronic Imaging, Vol. 23, Issue 6, 063012 (December 2014). https://doi.org/10.1117/1.JEI.23.6.063012

Abstract

We present an interactive image deformation method which preserves the local shapes of salient objects in the concerned image during the deformation. The proposed method falls into the moving least squares (MLS) framework, but notably differs from the original MLS deformation method. First, a saliency-related distance is developed to replace the original Euclidean distance in the weight definition. Second, the original affine matrix is decomposed into a single rotation matrix and a symmetric matrix by using a singular value decomposition, then the free parameters of these matrices are interpolated according to the saliency information. Furthermore, for the line-based MLS deformation, the closed-form solution of weight cannot be found directly when using the proposed saliency-based distance. To address this problem, we propose a method using an exponential transformation to regulate the weight where the regulation factor is also correlated to saliency information. All these revisions lead a saliency-sensitive mapping which creates a deformation change in the nonvital parts of image while preserving the local shapes of salient parts. Experimental results show that the proposed deformation outperforms the original MLS deformation in terms of visual performance.

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Yong Zhang, Jianhuang Lai, Pong C. Yuen, and Xiaohua Xie "Salient region preservation for image deformation," Journal of Electronic Imaging 23(6), 063012 (8 December 2014). https://doi.org/10.1117/1.JEI.23.6.063012

Published: 8 December 2014

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KEYWORDS

Visualization

Image segmentation

Control systems

Distortion

Image analysis

Matrices

Video

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