Nonlinear Diffusion Model for Fabric Image Denoising


Article Preview

In this paper, five nonlinear diffusion models for fabric image denoising are introduced. The advantages and drawbacks of these five models are described through describing their implementation methods. Quantitative and perceptual comparison experiments are given to verify the performance of these methods. Finally some valuable conclusions about denoising performance of these five models are present which is helpful for choosing and using these models in fabric image denoising.



Edited by:

Huawu Liu, Yongxin Yang, Shijie Shen, Zhili Zhong, Laijiu Zheng and Peng Feng




D. L. Chen et al., "Nonlinear Diffusion Model for Fabric Image Denoising", Advanced Materials Research, Vol. 627, pp. 484-488, 2013

Online since:

December 2012




[1] C.F. Kuo, C.Y. Shih, C.E. Ho and K.C. Peng: Textile Research Journal Vol. 80(2010), pp.2144-2157.

[2] J. Weickert: Anisotropic diffusion in image processing (Verlag Press, Stuttgart 1998).

[3] P. Perona and J. Malik: IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 12(1990), pp.629-639.

[4] Y. L. You and M. Kaveh: IEEE Transactions on Image Processing Vol. 9(2000), pp.1723-1730.

[5] M. Hajiaboli: Int J Comput Vis Vol. 92(2011), pp.177-191.

[6] M. Hajiaboli: IPSJ Transactions on Computer Vision and Application Vol. 2, pp.94-103.

[7] P. Guidotti and J. Lambers: J Math Imaging Vis. Vol. 33(2009), pp.25-37.

[8] P. Guidotti: J Math Imaging Vis. Vol. 40(2011), pp.188-198.

[9] B. Jian and X. C. Feng: IEEE Transactions on Image Processing Vol. 16(2007), pp.2492-2502.

[10] F. Catte, P. Lions, J. M. Morel and T. Coll: SIAM Journal on Numerical Analysis Vol. 29(1992), pp.182-193.