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Ringing Artifact Removal in Digital Restored Images Using Multi-Resolution Edge Map

  • Conference paper
Signal Processing, Image Processing and Pattern Recognition (SIP 2009)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 61))

Abstract

This paper presents a novel approach to reducing ringing artifact in digitally restored images by using multi-resolution edge map. The performance of reducing ringing artifacts depends on the accurate classification of the local features in the image. The discrete wavelet transform (DWT) provides effective insight into both spatial and frequency characteristics of an image. Through the DWT analysis, we show that ringing artifacts can be suppressed to a great extent by using multiple-level edge maps, which provide enhanced matching to local edges. Base on the experimental results, the proposed method can reduce ringing artifacts with minimized edge degradation by using DWT analysis.

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References

  1. Lagendijk, R., Biemond, J., Boekee, D.: Regularized Iterative Image Restoration with Ringing Reduction. IEEE Trans. on Acoust., Speech, Signal Processing 36, 1874–1887 (1988)

    Article  MATH  Google Scholar 

  2. Ritzgerrell, A., Dowski, E., Cathey, W.: Defocusing Transfer Function for Circularly Symmetric Pupils. Applied Optics 36, 5796–5804 (1997)

    Article  Google Scholar 

  3. Kong, H., Vetro, A., Sun, H.: Edge Map Guided Adaptive Post-Filter for Blocking and Ringing Artifacts Removal. In: IEEE Int. Symp. Circuits and Systems (ISCAS), vol. 3, pp. 929–932 (2004)

    Google Scholar 

  4. Popovici, I., Withers, W.: Locating Edges and Removing Ringing Artifacts in JPEG Image by frequency-domain analyses. IEEE Trans. Image Processing 16, 1470–1474 (2007)

    Article  MathSciNet  Google Scholar 

  5. Gonzalez, R., Woods, R.: Digital Image Processing, 2nd edn. Prentice Hall, Englewood Cliffs (2001)

    Google Scholar 

  6. Yang, S., Hu, Y., Nguyen, T., Tull, D.: Maximum-Likelihood Parameter Estimation for Image Ringing-Artifact Removal. IEEE Trans. on Circuits and Systems for Video Technology 11, 963–973 (2001)

    Article  Google Scholar 

  7. Yuan, L., Sun, J., Quan, L., Shum, H.: Progressive Inter–scale and Intra–scale Non–Blind Image Deconvolution. ACM Trans. on Graph 27, 74:1–74:10 (2008)

    Google Scholar 

  8. Zhang, M., Gunturk, B.: Multi-Resolution Bilateral Filtering for Image Denoising. IEEE Trans. on Image Processing 17, 2324–2333 (2008)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Image Processing and Intelligent Systems Laboratory, Graduate School of Advanced Imaging Science, Multimedia, and Film, Chung-Ang University, 221 Heuksuk-Dong, Dongjak-Ku, Seoul, 156-756, Korea

    Sangjin Kim, Sinyoung Jun, Eunsung Lee & Joonki Paik

  2. Department of Web Information Engineering, Hankyong National University, 67 Seokjeong-Dong, Anseong, Kyonggi-Do, 456-749, Korea

    Jeongho Shin

Authors
  1. Sangjin Kim
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  2. Sinyoung Jun
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  3. Eunsung Lee
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  4. Jeongho Shin
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  5. Joonki Paik
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Editor information

Editors and Affiliations

  1. University of Warsaw and Infobright Inc., Poland

    Dominik Ślęzak

  2. Indian Statistical Institute, India

    Sankar K. Pal

  3. University of Tasmania, 7001, Hobart, Australia

    Byeong-Ho Kang

  4. Lab. of Multimedia Information Technology (MMIT), East China Normal University (ECNU), P.O. Box, 200062, Shanghai, China

    Junzhong Gu

  5. Nagasaki University, Japan

    Hideo Kuroda

  6. Hannam University, 306-791, Daejeon, South Korea

    Tai-hoon Kim

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© 2009 Springer-Verlag Berlin Heidelberg

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Kim, S., Jun, S., Lee, E., Shin, J., Paik, J. (2009). Ringing Artifact Removal in Digital Restored Images Using Multi-Resolution Edge Map. In: Ślęzak, D., Pal, S.K., Kang, BH., Gu, J., Kuroda, H., Kim, Th. (eds) Signal Processing, Image Processing and Pattern Recognition. SIP 2009. Communications in Computer and Information Science, vol 61. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10546-3_27

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  • DOI: https://doi.org/10.1007/978-3-642-10546-3_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10545-6

  • Online ISBN: 978-3-642-10546-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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