방송공학회논문지 (Journal of Broadcast Engineering)

  • 제19권2호
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  • Pages.227-239
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  • 2014
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  • 1226-7953(pISSN)
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  • 2287-9137(eISSN)
한국방송∙미디어공학회 (The Korean Institute of Broadcast and Media Engineers)
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낮은 복잡도의 준무손실 압축을 위한 향상된 예측 기법

Enhanced Prediction for Low Complexity Near-lossless Compression

  • 투고 : 2014.01.22
  • 심사 : 2014.03.04
  • 발행 : 2014.03.30
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⟨ 이전 논문 다음 논문 ⟩

초록

본 논문은 영상처리용 SoC에서 외부 메모리 대역폭을 효과적으로 낮추기 위한 near-lossless 이미지 코더의 압축 성능을 향상시키는 새로운 예측 기법을 제안한다. 먼저, RGB 간 correlation을 고려하여 이미 복원된 G 성분을 기반으로 R과 B 성분을 효과적으로 예측하는 inter-color prediction을 수행한다. 다음으로 가변 블록 예측을 통해 예측 성능을 향상시킨다. 마지막으로 이전 프레임에서 sampling된 템플릿 dictionary를 이용해 G 성분 예측 시 최소한의 내부 메모리만을 사용하여 시간 축 예측 성능을 개선시키는 방법을 제안한다. 실험 결과를 통해 자연 영상의 경우 기존 기법 대비 평균적으로 약 30%의 코딩 효율 향상을 보이고, CG 영상의 경우에는 평균 60% 정도의 성능 향상을 보임을 알 수 있다.

This paper proposes an enhance prediction for conventional near-lossless coder to effectively lower external memory bandwidth in image processing SoC. First, we utilize an already reconstructed green component as a base of predictor of the other color component because high correlation between RGB color components usually exists. Next, we can improve prediction performance by applying variable block size prediction. Lastly, we use minimum internal memory and improve a temporal prediction performance by using a template dictionary that is sampled in previous frame. Experimental results show that the proposed algorithm shows better performance than the previous works. Natural images have approximately 30% improvement in coding efficiency and CG images have 60% improvement on average.

키워드

참고문헌

  1. M. Sugawara, M. Kanazawa, K. Mitani, H. Shimamoto, T. Yamashita and F. Okano, "Ultrahigh-Definition Video System with 4000 Scanning Lines," SMPTE Motion Imaging Journal, vol. 112, no. 10/11, pp. 339-346, Oct. 2003. https://doi.org/10.5594/J16304
  2. M. Sugawara, K. Masaoka, M. Emoto, Y. Matsuo and Y. Nojiri, "Research on Human Factors in Ultrahigh-Definition Television (UHDTV) to Determine Its Specifications," SMPTE Motion Imaging Journal, vol. 117, no. 3, pp. 23-29, Apr. 2008.
  3. C. Chrysafis and A. Ortega, "Line-Based, Reduced Memory, Wavelet Image Compression," IEEE Trans. Image Processing, vol. 9, no. 3, pp. 378-389, Mar. 2000. https://doi.org/10.1109/83.826776
  4. E. Ordentlich, D. Taubmanl, M. Weinberger and G. Seroussi, "Memory Efficient Scalable Line-based Image Coding," Proc. IEEE Data Compression Conf., pp. 218-227, Mar. 1999.
  5. N. Memon and X. Wu, "Recent Developments in Context-Based Predictive Techniques for Lossless Image Compression," Comput. J., vol. 40, no. 2/3, pp. 127-136, May 1997. https://doi.org/10.1093/comjnl/40.2_and_3.127
  6. M. J. Weinberger, G. Seroussi and G. Sapiro, "The LOCO-I lossless image compression algorithm: principles and standardization into JPEG-LS," IEEE Trans. Image Processing, vol. 9, no. 8, pp. 1309-1324, Aug. 2000. https://doi.org/10.1109/83.855427
  7. ISO/IEC, "Information Technology - Lossless and Near-lossless Compression of Continuous- Tone Still Images - Baseline," ITU-T Recommendation T.87, 14495-1, 1998.
  8. X. Wu and N. Memon, "Context-Based, Adaptive, Lossless Image Coding," IEEE Trans. Communications, vol. 45, no. 4, pp. 437-444, Apr. 1997. https://doi.org/10.1109/26.585919
  9. A. Avramovic and B. Reljin, "Gradient Edge Detection Predictor for Image Lossless Compression," Proceedings of ELMAR, pp. 131-134, Sep. 2010.
  10. J. Kim and C.M. Kyung, "A Lossless Embedded Compression Using Significant Bit Truncation for HD Video Coding," IEEE Trans. Circuits Syst. Video Technol., vol. 20, No.6, pp. 848-860, Jun. 2010. https://doi.org/10.1109/TCSVT.2010.2045923
  11. E. Wige, G. Yammine, P. Amon, A. Hutter and A. Kaup, "Pixel-Based Averaging Predictor for HEVC Lossless Coding," in Proc. ICIP, pp. 1806-1810, Sep. 2013.
  12. Y. G. Lee, B. C. Song, N. H. Kim, T. H. Kim and W. H. Joo, "Lowcomplexity near-lossless image coder for efficient bus traffic in very large size multimedia SoC," in Proc. ICIP, pp. 2329-2332, Nov. 2009.
  13. Y. G. Lee and B. C. Song, "An Intra-Frame Rate Control Algorithm for Ultralow Delay H.264/Advanced Video Coding (AVC)," IEEE Trans. Circuits Syst. Video Technol., vol. 19, pp. 747-752, May 2009. https://doi.org/10.1109/TCSVT.2009.2017413
  14. B. C. Song, Y. G. Lee and N. H. Kim, "Block Adaptive Inter-Color Compensation Algorithm for RGB 4:4:4 Video Coding," IEEE Trans. Circuits Syst. Video Technol.., vol. 18, pp. 1447-1451, Oct. 2008. https://doi.org/10.1109/TCSVT.2008.2002827
  15. B. C. Song, M. J. Kim and J. B. Ra, "A fast multiresolution feature matching algorithm for exhaustive search in large image databases," IEEE Trans. Circuits Syst. Video Technol., vol. 11, no. 5, pp. 673-678, May 2001. https://doi.org/10.1109/76.920197