Skip to main content
SpringerLink
Log in

Fabric Image Denoising Method Based on Wavelet-Domain HMT Model

  • Conference paper
Multimedia and Signal Processing (CMSP 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 346))

Included in the following conference series:

Abstract

To deal with the problem of shape distortion and the poor adaptation in denoising of fabric textures, a denoising method based on hidden Markov tree (HMT) in wavelet domain for jacquard fabric images is proposed. The wavelet-domain HMT model is built and the parameters of HMT model are estimated by EM algorithm. Experimental results show that the method can effectively denoise fabric images and is a better method for fabric images than the classical image denoising methods. It also increases PNSR and perfectly preserves the shapes of fabric texture while denoising.

Foundation item: The Program of National Science Foundation of China(No.61070063), Zhejiang Provincial Natural Science Foundation of China(Z1080702) and Zhejiang Province Department of Education (Y200909797).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Gonzalez, R.C., Woods, R.E.: Digital Image Processing. Prentice Hall, London (2001)

    Google Scholar 

  2. Ko, S.J., Lee, Y.H.: Center Weighted Median Filters And Their Applications To Image Enhancement. J. IEEE Trans., C. S 38, 984–993 (1991)

    Article  Google Scholar 

  3. Rahamn, S.M., Hasan, M.K.: Wavelet-Domain Iterative Center Weighted Median Filter For Image Denoising. J. Signal P. 83, 1001–1012 (2003)

    Article  Google Scholar 

  4. Fan, G.L.: Wavelet Domain Statistical Image Modeling and Processing. Ph.D.dissertation. University of Delaware, pp. 46–47 (2001)

    Google Scholar 

  5. Crouse, M.S., Nowak, R.D., Baraniuk, R.G.: Wavelet-Based Statistical Signal Processingusing Hidden Markov Models. J. IEEE Trans. S. P. 46, 886–902 (1998)

    Article  MathSciNet  Google Scholar 

  6. Donoho, D.L., Johnstone, I.M.: Ideal Spatial Adaptation Wavelet Shrinkage. J. Biometrika 81, 425–455 (1998)

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. College of Informatics & Electronics, Zhejiang Sci-Tech University, Hangzhou, China

    Qi Sun & Yaming Wang

  2. Department of Computer, Zhejiang Industry Polytechnic College, Shaoxing, China

    Chunxia Xu

Authors
  1. Qi Sun
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yaming Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Chunxia Xu
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Caritas Institute of Higher Education, 18 Chui Ling Road, Tseung Kwan O, Hong Kong, China

    Fu Lee Wang

  2. School of Computer and Information Engineering, Shanghai University of Electric Power, 200090, Shanghai, China

    Jingsheng Lei

  3. Department of Computer Science, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong, China

    Rynson W. H. Lau

  4. Department of Electrical and Computer Systems Engineering, Monash University, P.O. Box 35, 3800, Clayton, VIC, Australia

    Jingxin Zhang

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Sun, Q., Wang, Y., Xu, C. (2012). Fabric Image Denoising Method Based on Wavelet-Domain HMT Model. In: Wang, F.L., Lei, J., Lau, R.W.H., Zhang, J. (eds) Multimedia and Signal Processing. CMSP 2012. Communications in Computer and Information Science, vol 346. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35286-7_48

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-35286-7_48

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35285-0

  • Online ISBN: 978-3-642-35286-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation