Directional Block Loss Recovery sing Hypothesis Testing Problem

가설 검증 기법을 이용한 방향성을 가지는 손실 블록의 복구

  • Published : 2008.09.25

Abstract

In this paper, we present a directional error concealment technique to compensate a lost block. Generally, the strong edge of an image has the large amounts of the variance because of its large coefficients in the wavelet domain. For estimating edge direction of a lost block, a $X^2$ hypothesis-testing problem is applied using the variance of wavelet coefficients. The lost block is interpolated according to the estimated edge direction. The pixels for interpolation is obtained from the edge direction. The proposed method outperforms the previous methods in objective and subjective qualities.

본 논문에서는 손실된 블록의 은닉을 위한 방향성을 가지는 블록 복구 방법을 제안한다. 일반적으로 영상의 강한 에지는 웨이블릿 영역에서 큰 계수 값을 가지기 때문에 분산 또한 큰 값으로 나타난다. 손실 블록의 에지 방향을 추정하기 위해서 웨이블릿 계수들의 분산을 이용한 $X^2$ 가설 검증 기법을 적용한단. 추정된 에지의 방향에 따라 보간을 수행하며, 손실 화소를 보간하기 위하여 사용되는 화소는 에지 방향에 따라 결정된다. 제안 방법은 이전 방법과의 성능비교에서 주관적으로나 객관적으로 나 더 좋은 성능을 나타낸다.

Keywords

References

  1. Y. Wang and Q. F. Zhu, Error control and concealment for video communication: A review. Proceedings of IEEE, 86(5), May. 1998, 974-997
  2. J. Cao, F. Li and J. Guo, An efficient error concealment algorithm for DCT encoded images. IEEE Canadian Conf. on Electrical and Computer Engineering, 2, May. 2003, 753-756
  3. S. S. Hemami and T. Meng, Transform coded image reconstruction exploiting inter block correlation. IEEE Transaction on Image Processing, 121(7), July, 1995, 1024-1027
  4. S. Aign and K. Fazel, Temporal and spatial error concealment technique for hierarchical MPEG-2 video codec. IEEE Int. Conf. on communication, 3, Oct. 1995, 1258-1267
  5. H. Sun and W. Kwok, Concealment of damaged block transform coded images using projections onto convex sets. IEEE Transactions on Image Processing. 4(4) Apr. 1995, 470-477 https://doi.org/10.1109/83.370675
  6. X. Lee, Y. Q. Zhang and A. L. Garcia, Information loss recovery for block-based image coding techniques - A fuzzy logic approach. IEEE Transaction on Image Processing, 4(3), Mar. 1995, 259-273 https://doi.org/10.1109/83.366475
  7. J. W. Park, J. W. Kim and S. U. Lee, DCT Coefficients Recovery-Based Error Concealment Technique and Its Application to the MPEG-2 Bit Stream Error. IEEE Transaction CSVT, 7(6), Dec. 1997, 845-854
  8. J. W. Suh and Y. S. Ho, Error Concealment based on directional interpolation. IEEE Transaction on Consumer Electronics, 43(3), Aug. 1997, 295-032 https://doi.org/10.1109/30.628616
  9. M. Ancis and D. D. Giusto, Reconstruction of missing blocks in JPEG picture transmission. IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, Aug. 1999, 288-291
  10. Xin Li, Michael T. Orchard, Novel sequential error-concealment techniques using orientation adaptive interpolation. IEEE transactions on circuits and systems for video technology, 12(10), Oct. 2002, 857-864 https://doi.org/10.1109/TCSVT.2002.804882
  11. Jiho Park, Dong-Chul Park, Robert J.Marks, II, and Mohamed A. El-Sharkawi, Recovery of image blocks using the method of alternating projections. IEEE Transactions on Image Processing, 14(4), Apr. 2005, 461-474 https://doi.org/10.1109/TIP.2004.842354
  12. O. G. Guleryuz, Iterated denoising for image recovery. IEEE Data Compression Conference, Apr. 2002, 3-12
  13. Y. Wang, Q. Zhu and L. Shaw, Maximally smooth image recovery in transform coding. IEEE Transaction on Communications, 41(10), Oct., 1993, 1544-1551 https://doi.org/10.1109/26.237889
  14. Victor DeBrunner, Linda DeBrunner and Longji Wang, Recovery of lost blocks by dynamic pixel interleaving. IEEE International Conference on International Symposium Circuits and Systems, 4, 1999, 131-134
  15. Wonki Kim, Jasung Koo, Jechang Jeong, Fine directional interpolation for spatial error concealment. IEEE Transactions on Consumer Electronics, vol.52, No. 3, pp.1050-1056, Aug., 2006 https://doi.org/10.1109/TCE.2006.1706506
  16. S. Shirani, F. Kossentini, and R. Ward, Reconstruction of baseline JPEG coded images in error prone environments. IEEE Transactions on Image Processing, vol. 9, No. 7, pp.1292-1299, Jul. 2000 https://doi.org/10.1109/83.847842
  17. Z. Alkachouh and M. G. Bellanger, Fast DCT-based spatial domain interpolation of blocks in images. IEEE Transactions on Image Processing, vol. 9, No. 4, pp.729-732, Apr. 2000 https://doi.org/10.1109/83.841948
  18. S.-C. Hsia, An edge-oriented spatial interpolation for consecutive block error concealment. IEEE Signal Processing Lettters, vol. 11, pp.577-580, Jun. 2004 https://doi.org/10.1109/LSP.2004.827916
  19. Sueng Hwa Hyun, Sang Soo Kim, ll Kyu Eom, and Yoo Shin Kim, Estimation of edge direction for block error concealment using Hypothesis Testing Problem. Proceeding of IASTED International Conference on Signal and Image Processing, Aug. 2007, 391-396
  20. E. J. Dudewicz and S. N. Mishra, Modern Mathematical Statistics (John Wiley & Sons, 1988)