DOI QR코드

DOI QR Code

Blind Measurement of Blocking Artifacts in Block-based DCT Image Coder

블록기반 DCT 영상 부호화기의 블록화 왜곡 블라인드 측정

  • 정태윤 (강릉대학교 정보전자공학부) ;
  • 박성욱 (삼성전자 디지털 미디어 연구소)
  • Published : 2004.02.01

Abstract

This paper proposes a new blind measurement model of blocking artifacts. This model plays an important role in the assessment and enhancement of image quality caused by block-based DCT coding system. The proposed model can measure blocking artifacts without reference to original images and consider the HVS based visual model such as frequency sensitivity and channel masking effect to detect and measure overall blocking artifacts quantitatively. The experimental results show that the proposed model is highly effective in measuring blocking artifacts.

본 논문은 블록기반 DCT 부호화 영상의 화전 평가 몇 개선에 필수적인 블록화 외곡 정도를 측정하는 새로운 블라인드 측정 모델을 제안한다. 제안된 모델은 원영상을 필요로 하지 않으며 또한 인간시각 특성의 다채널 구조에 따른 주파수 민감도와 마스킹 현상을 반영하여 영상 부호화시 발생하는 블록화 외곡량을 정량적으로 검출, 측정하였으며 실험을 통해 제안된 모델의 타당성을 검증하였다.

Keywords

References

  1. K. R Rao and J. J. Huang, Techniques and Standards for Image, Video and Audio Coding, Pretice Hall, 1996.
  2. Z. Wang and D. Zhang, "A Novel Approach for the Reduction of Blocking Artifacts in Low-bit-rate Image Compression," IEEE Trans. Comm., Vol. 46, No. 6, pp. 732-734, June 1998. https://doi.org/10.1109/26.681401
  3. M. Miyahara, K. Kotani and V. R. Algazi, "Objective Picture Quality Scale(PQS) for Image Coding," IEEE Trans. Comm., Vol. 46, No. 9, pp. 1213-1226, 1998.
  4. C. J. van den Branden Lambrecht, "Perceptual Models and Architectures for Video Coding Applications," Ph.D. Thesis, Ecole Polytechnique Federale De Lausanne, 1996.
  5. ITU- R Rec. BT. 500-9, "Methodology for the subjective assessment of the quality of television pictures," ITU, 1998.
  6. J. E. Caviedes, A. Drouot, A. Gesnot and L. Rouvellou, "Impairment Metrics for Digital Video and Their Role in Objective Quality Assessment," Proc. SPIE Visual Communications and Image Processing, Vol. 4067, pp. 791-800, 2000.
  7. VQEG, "Final Report from the video quality experts group on the validation of objective models of video quality assessment," Mar. 2000.
  8. S. Winkler, "Visual Fidelity and Perceived Quality: Towards Comprehensive Metrics," Proc. SPIE Human Vision and Electronic Imaging, Vol. 4299, pp. 114-125, Jan. 2001.
  9. J. Lubin and D. Fibush, "Sarnoff JND Vision Model," T1A1.5 Working Group Document #97-612, T1 Standard Committee, 1997.
  10. S. Winkler, "A Perceptual Distortion Metric for Digital Color Video," Human Vision and Electronic Imaging, Proc. SPIE, Vol. 3644, pp. 175-184, 1999.
  11. Z. Yu, H. R. Wu, S. Winkler and T. Chen, "Vision Model based Impairment Metric to Evaluate Blocking Artifacts in Digital Video," Proceeding of IEEE, Vol. 90, No. 1, pp. 154-169, Jan. 2002. https://doi.org/10.1109/5.982412
  12. Z. Wang, A. C. Bovic and B. L. Evans, "Blind Measurement of Blocking Artifacts in Images," IEEE International Conf. on Image Processing, Vol. 3, pp. 981-984, Sep. 2000.
  13. A. B. Watson and J. Solomon, "Model of Visual Contrast Gain Control and Pattern Masking", Journal of the Optical Society of America, Vol. 14 pp. 2379-2391, 1997. https://doi.org/10.1364/JOSAA.14.002379
  14. E. P. Simoncelli, W. T. Freeman, D. J. Heeger, "Shiftable Multi-scale Transforms," IEEE Trans. Inform. Theory, Special Issue on Wavelets, Vol. 38, pp. 587-607, 1992. https://doi.org/10.1109/18.119725

Cited by

  1. A Postfiltering Algorithm for Enhancement in Block-based DCT Compressed Images vol.24, pp.1, 2014, https://doi.org/10.5391/JKIIS.2014.24.1.022