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Image Deformation by User-Defined Force Fields
Department of Applied Mathematics, Jiangxi Agricultural University, Nanchang, China
- 1 Department of Applied Mathematics, Jiangxi Agricultural University, Nanchang, China
Journal of Signal and Information Processing·Volume 07 (2016)·Pages 27–33·Published 15 February 2016·DOI10.4236/jsip.2016.71004
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Abstract
We present a new method for image deformation. The warping technique provides smooth distortion with intuitive and easy manipulation. Driven by a restrained force field, the input image is deformed gradually and continuously. The method allows us to customize the force fields and the region of interest manually through some simple steps. Experimental results demonstrate the effectiveness and convenience of the approach.
KeywordsImage DeformationForce FieldsFree-Form Deformation
- Schaefer, S., McPhail, T. and Warren, J. (2006) Image Deformation Using Moving Least Squares. ACM Transactions on Graphics, 25, 533-540. http://dx.doi.org/10.1145/1141911.1141920
- Tang, Y.Y. and Suen, C.Y. (1993) Image Transformation Approach to Nonlinear Shape Restoration. IEEE Transactions on Systems, Man, and Cybernetics, 23, 155-172. http://dx.doi.org/10.1109/21.214774
- Eitz, M., Sorkine, O. and Alexa, M. (2007) Sketch Based Image Deformation. Proc. Vision, Modeling and Visualization (VMV), 135-142.
- Karni, Z., Freedman, D. and Gotsman, C. (2009) Energy-Based Image Deformation. Computer Graphics Forum, 28, 1257-1268. http://dx.doi.org/10.1111/j.1467-8659.2009.01503.x
- Yan, H.B., Hu, S.M., Martin, R.R. and Yang, Y.L. (2008) Shape Deformation Using a Skeleton to Drive Simplex Transformations. IEEE Transactions on Visualization and Computer Graphics, 14, 693-706. http://dx.doi.org/10.1109/TVCG.2008.28
- Milliron, T., Jensen, R., Barzel, R. and Finkelstein, A. (2002) A Framework for Geometric Warps and Deformations. ACM Transactions on Graphics, 21, 20-51. http://dx.doi.org/10.1145/504789.504791
- Perona, P. and Malik, J. (1990) Scale Space and Edge Detection Using Anisotropic Diffusion. IEEE Transactions on Pattern Analysis and Machine Intelligence, 12, 629-639. http://dx.doi.org/10.1109/34.56205
- Weickert, J. (1999) Coherence-Enhancing Diffusion Filtering. International Journal of Computer Vision, 31, 111-127. http://dx.doi.org/10.1023/A:1008009714131
- You, Y.L. and Kaveh, M. (2000) Fourth-Order Partial Differential Equation for Noise Removal. IEEE Transactions on Image Processing, 9, 1723-1730. http://dx.doi.org/10.1109/83.869184
- Tschumperle, D. and Deriche, R. (2005) Vector-Valued Image Regularization with PDEs: A Common Framework for Different Application. IEEE Transactions on Pattern Analysis and Machine Intelligence, 27, 506-517.
- Wu, J. and Tang, C. (2011) An Efficient Decision-Based and Edge-Preserving Method for Salt-and-Pepper Noise Removal. Pattern Recognition Letters, 32, 1974-1981. http://dx.doi.org/10.1016/j.patrec.2011.09.025