Movatterモバイル変換

[0]ホーム
URL:

Skip to main content

Advertisement

Springer Nature Link
Log in

Adaptive Fuzzy Weighted Average Filter for Synthesized Image

  • Conference paper

Part of the book series:Lecture Notes in Computer Science ((LNTCS,volume 3482))

  • 1840Accesses

Abstract

Monte Carlo is a powerful tool for the computation of global illumination. However noises, which are resulted from the low convergence of Monte Carlo, are noticeable for the synthesized image with global illumination effects and can be regarded as the combination of Gaussian noise and impulse noise. Filter is a cheap way to eliminate noises. In this paper, we investigate nonlinear filtering techniques to reduce the mixturing noise. Based on fuzzy theory, we present an adaptive weighted average filter to optimize the weighs of the filters. Analysis and the computational results, which have been obtained from experiments for noise attenuation and edge preservation, indicate that the new algorithm is promising.

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

Access this chapter

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Bekaert, P.: Hierarchical and Stochastic Algorithms for Radiosity. Ph.D. Dissertation, Katholieke Universiteit Leuven, Belgium (December 1999)

    Google Scholar 

  2. Hampel, F., Ronchetti, E., Rousseeuw, P., Stahel, W.: Robust Statistics. John Wiley, Chichester (1986)

    MATH  Google Scholar 

  3. Pitas, I., Venetsanopoulos, A.N.: Nonlinear digital filters: principles and applications. Kluwer Academic Publishers, Dordrecht (1990)

    MATH  Google Scholar 

  4. guirong, G., zhaowen, Z.: Fuzzy Technology in Information Processing. Publishing company of university of national defense technology (1996)

    Google Scholar 

  5. xingui, H.: Theory and Technology of the Processing of Fuzzy Knowledge. Publishing company of national defense industry (1998)

    Google Scholar 

  6. Choi, Y., Kirshnapuram, R.: A Robust Approach to Image Enhancement Based on Fuzzy logic. IEEE Trans. Image Processing 6(6), 808–825 (1997)

    Article  Google Scholar 

  7. Cheng, H.D., Chen, C.H., Chui, H.H.: Fuzzy homogeneity approach to multilevel thresholding. IEEE Trans. on IP 7(7), 1084–1088 (1998)

    Google Scholar 

  8. Gasteratos, A., Andreadis, I., Tsalides: Fuzzy soft mathematical morphology. IEEE Proc.-Vis Image Signal Processing 145(1), 41–49 (1998)

    Article  Google Scholar 

  9. Russo, F., Ramponi, G.: Nonlinear fuzzy operators for image processing. Signal Processing 38, 429–440 (1994)

    Article MATH  Google Scholar 

  10. Chatizs, V., Pitas, I.: Nonlinear location and scale estimatiors of fuzzy numbers. IEEE Trans. on SP 46(1), 231–234 (1998)

    Article  Google Scholar 

  11. Lwe, T., Itoh, H., Seki, H.: Image filtering, edge detection, and edge tracing using fuzzy reasoning. IEEE Trans. on PAMI 18(5), 481–491 (1996)

    Google Scholar 

  12. Lee, C.C.: Fuzzy logical in control systems: fuzzy logical controller-Part. IEEE Trans. on SMC 20(2), 404–418 (1990)

    MATH  Google Scholar 

  13. Lee, C.C.: Fuzzy logical in control systems: fuzzy logical controller-Part. IEEE Trans. on SMC 20(2), 419–435 (1990)

    MATH  Google Scholar 

  14. Xu, Q., et al.: Fuzzy Weighted Average Filtering for Mixture Noises. In: International Conference on image and graphics 2004, Hong Kong (December 2004)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of information, Tianjin University,  

    Qing Xu, Liang Ma, Weifang Nie, Peng Li, Jiawan Zhang & Jizhou Sun

Authors
  1. Qing Xu

    You can also search for this author inPubMed Google Scholar

  2. Liang Ma

    You can also search for this author inPubMed Google Scholar

  3. Weifang Nie

    You can also search for this author inPubMed Google Scholar

  4. Peng Li

    You can also search for this author inPubMed Google Scholar

  5. Jiawan Zhang

    You can also search for this author inPubMed Google Scholar

  6. Jizhou Sun

    You can also search for this author inPubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Mathematics and Computer Science, University of Perugia, via Vanvitelli, 1, I-06123, Perugia, Italy

    Osvaldo Gervasi

  2. Department of Computer Science, University of Calgary, 2500 University Drive N.W., T2N 1N4, Calgary, AB, Canada

    Marina L. Gavrilova

  3. William Norris Professor, Head of the Computer Science and Engineering, Department University of Minnesota, USA

    Vipin Kumar

  4. Department of Chemistry, University of Perugia, Via Elce di Sotto, 8, I-06123, Perugia, Italy

    Antonio Laganà

  5. Institute of High Performance Computing, IHCP, 1 Science Park Road, 01-01 The Capricorn, Singapore Science Park II, 117528, Singapore

    Heow Pueh Lee

  6. School of Computing, Soongsil University, Seoul, Korea

    Youngsong Mun

  7. Clayton School of IT, Monash University, 3800, Clayton, Australia

    David Taniar

  8. OptimaNumerics Ltd, Belfast, United Kingdom

    Chih Jeng Kenneth Tan

Rights and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Xu, Q., Ma, L., Nie, W., Li, P., Zhang, J., Sun, J. (2005). Adaptive Fuzzy Weighted Average Filter for Synthesized Image. In: Gervasi, O.,et al. Computational Science and Its Applications – ICCSA 2005. ICCSA 2005. Lecture Notes in Computer Science, vol 3482. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11424857_32

Download citation

Publish with us

[8]ページ先頭
©2009-2025 Movatter.jp