Journal of Mathematical Imaging and Vision

, Volume 28, Issue 3, pp 279–284 | Cite as

Fast Blind Measurement of Blocking Artifacts in both Pixel and DCT Domains

  • Chun-Su Park
  • Jun-Hyung Kim
  • Sung-Jea Ko


The objective measurement of blocking artifacts plays an important role in the design, optimization, and assessment of image and video compression. In this paper, we propose a novel measurement algorithm for blocking artifacts. Computer simulation results indicate that the proposed method accurately measures the blocking artifacts without using the original image. Moreover, the proposed algorithm can be easily implemented in both pixel and DCT domains.


Blocking artifacts Measurement DCT domain 


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  1. 1.
    ISO/IEC JTC11/SC29/WG11, Generic Coding of Moving Pictures and Associated Audio Information: Video, ISO/IEC 13818-2 Google Scholar
  2. 2.
    Draft ITU-T Recommendation and Final Draft International Standard of Joint Video Specification (ITU-T Rec. H. 264/ISO/IEC 14 496-10 AVC), March 2003 Google Scholar
  3. 3.
    Kim, Y., Park, C.S., Ko, S.J.: Fast POCS based post-processing technique for HDTV. IEEE Trans. Consum. Electron. 49(4), 1438–1447 (2003) CrossRefGoogle Scholar
  4. 4.
    Karunasekera, S.A., Kingsbury, N.G.: A distortion measure for blocking artifacts in images based on human visual sensitivity. IEEE Trans. Image Process. 4, 713–724 (1995) CrossRefGoogle Scholar
  5. 5.
    Wang, Z., Bovik, A.C.: Blind measurement of blocking artifacts in images. In: Proc. IEEE Int. Conf. Image Processing, Vancouver, Canada, pp. 981–984, October 2000 Google Scholar
  6. 6.
    Wang, C., Zhang, W.J., Fang, X.Z.: Adaptive reduction of blocking artifacts in DCT domain for highly compressed images. IEEE Trans. Consum. Electron. 50, 647–654 (2004) CrossRefGoogle Scholar
  7. 7.
    Chou, C.H., Liu, K.C.: A visual model for estimating the perceptual redundancy inherent in color images. In: Proc. Intelligent Multimedia, Video and Speech Processing, pp. 530–533, October 2004 Google Scholar
  8. 8.
    Kim, S.D., Ra, J.B.: Efficient DCT-domain prefiltering inside a video encoder. In: Proc. SPIE Visual Communications and Image Processing, vol. 4067, pp. 1579–1588, June 2000 Google Scholar
  9. 9.
    Jang, L.H., Moon, K.W., Kim, N.C., Kim, T.S.: Postprocessing in block-based video coding based on a quantization noise model. IEICE Trans. Inf. Syst. E88-D, 1966–1976 (2005) CrossRefGoogle Scholar
  10. 10.
    Li, X., Orchard, M.T.: Novel sequential error-concealment techniques using orientation adaptive interpolation. IEEE Trans. Circuits Syst. Video Technol. 12(10), 857–864 (2002) CrossRefGoogle Scholar
  11. 11.
    Sima, M., Zhou, Y., Zhang, W.: An efficient architecture for adaptive deblocking filter of H264/AVC video coding. IEEE Trans. Consum. Electron. 50, 292–296 (2004) CrossRefGoogle Scholar
  12. 12.
    Merhav, N., Bhaskaran, V.: Fast algorithms for DCT-domain image down-sampling and for inverse motion compensation. IEEE Trans. Circuits Syst. Video Technol. 7, 468–476 (1997) CrossRefGoogle Scholar
  13. 13.
    Liu, S.Z., Bovik, A.C.: Efficient DCT-domain blind measurement and reduction of blocking artifacts. IEEE Trans. Circuits Syst. Video Technol. 12(12), 1139–1149 (2002) CrossRefGoogle Scholar
  14. 14.
    Gao, W., Mermer, C., Kim, Y.: A de-blocking algorithm and a blockiness metric for highly compressed images. IEEE Trans. Circuits Syst. Video Technol. 12, 1150–1159 (2002) CrossRefGoogle Scholar
  15. 15.
    van den B. Lambrecht, Ch.J.: Vision Models and Applications to Image and Video Processing. Kluwer Academic, Dordrecht (2001) Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  1. 1.Department of Electronics EngineeringKorea UniversitySeoulKorea

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