Journal of the Korea Institute of Information and Communication Engineering (한국정보통신학회논문지)

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
권호 표지
DOI QR코드

DOI QR Code

An Effective MC-BCS-SPL Algorithm and Its Performance Comparison with Respect to Prediction Structuring Method

효과적인 MC-BCS-SPL 알고리즘과 예측 구조 방식에 따른 성능 비교

  • Ryug, Joong-seon (Department of Multimedia Engineering, Hanbat National University) ;
  • Kim, Jin-soo (Department of Multimedia Engineering, Hanbat National University)
  • Received : 2017.02.15
  • Accepted : 2017.02.28
  • Published : 2017.07.31
Download PDF
⟨ Previous Next ⟩

Abstract

Recently, distributed compressed video sensing (DCVS) has been actively studied in order to achieve a low complexity video encoder by integrating both compressed sensing and distributed video coding characteristics. Conventionally, a motion compensated block compressed sensing with smoothed projected Landweber (MC-BCS-SPL) has been considered as an effective scheme of DCVS with all compressed sensing frames pursuing the simplest sampling. In this scheme, video frames are separately classified into key frames and WZ frames. However, when reconstructing WZ frame with conventional MC-BCS-SPL scheme at the decoder side, the visual qualities are poor for temporally active video sequences. In this paper, to overcome the drawbacks of the conventional scheme, an enhanced MC-BCS-SPL algorithm is proposed, which corrects the initial image with reference to the key frame using a high correlation between adjacent key frames. The proposed scheme is analyzed with respect to GOP (Group of Pictures) structuring method. Experimental results show that the proposed method performs better than conventional MC-BCS-SPL in rate-distortion.

최근에 낮은 복잡도의 부호화기를 구현하기 위해 분산 비디오 부호화 와 압축센싱을 결합한 구조로서 분산 압축 비디오 센싱기술에 대한 연구가 활발히 진행되고 있다. 기존에 움직임 보상 블록 압축센싱 기술(MC-BCS-SPL)은 가장 간단한 표본화를 추구하면서 모든 압축센싱 프레임을 갖는 DCVS방식중의 효과적인 방안으로 다루어져 왔다. 이 방식은 키 프레임과 WZ 프레임으로 분리하여 압축센싱한다. 그러나 MC-BCS-SPL 방식은 복호화기에서 WZ 프레임을 복원할 때, 움직임이 큰 영상 시퀀스의 경우에 화질 저하가 발생시키는 단점이 존재한다. 본 논문에서는 이러한 기존의 문제점을 극복하기 위한 개선된 MC-BCS-SPL 방식을 제안한다. 제안한 방식은 연속적인 키 프레임 간 에 존재하는 높은 상관관계를 이용하여 키 프레임을 참조함으로써 초기 영상을 보정한다. GOP 예측 구조 방식에 따른 율-왜곡 성능을 비교한다. 다양한 실험 결과를 통하여 제안하는 알고리즘이 기존 알고리즘보다 더 좋은 화질을 제공함을 보여준다.

Keywords

References

  1. D. Slepian and J. Wolf, "Noiseless Coding of Correlated Information Sources," in Proceedings of IEEE Transactions on Information Theory 19, pp. 471-480, July 1973.
  2. B. Girod, A. Aaron, S. Rane, and D. Rebollo-Monedero, "Distributed Video Coding," in Proceedings of IEEE Special Issue On Advance In Video Coding And Delivery, vol. 93, pp. 71-83, June 2005.
  3. T. Do, Y. Chen, D. T. Nguyen, N. Nguyen, L. Gan, and T. D. Tran, "Distributed Compressed Video Sensing," in Proceedings of the International Conference on Image Processing, Cairoa, Egypt, pp. 1393-1396, November 2009.
  4. D. L. Donoho, "Compressed Sensing," IEEE Transactions on Information Theory, vol. 52, no. 4, pp. 1289-1306, Apr. 2006. https://doi.org/10.1109/TIT.2006.871582
  5. B. Jeon, "Compressed Sensing and Image Processing Application," in Proceedings of The Magazine of the The Institute of Electronics and Information Engineers, vol. 41, no. 6, pp. 27-38, June 2014.
  6. S. Mun and J. E. Fowler, "Block Compressed Sensing of Images Using Directional Transforms," in Proceedings of IEEE International Conference on Image Processing, USA, pp. 3021-3024, 2009.
  7. S. Mun and J. E. Flower, "Residual Reconstruction for Block-based Compressed Sensing of Video," in Proceedings of Data Compression Conference, pp. 183-192, March 2011.
  8. Q. H. Nguyen, K. Q. Dinh, V. A. Nguyen, C. V. Trinh, Y. H. Park, B. W. Jeon, "A Skip-mode Coding for Distributed Compressive Video Sensing," Journal of Broadcast Engineering, vol. 19, no. 2. pp. 257-267, March 2014. https://doi.org/10.5909/JBE.2014.19.2.257
  9. J. Ryu and J. Kim, "Performance Comparison of BCS-SPL Techniques Against a Variety of Restoring Block Sizes," Journal of the Korea Industrial Information System Society, vol. 21, no. 3, pp.21-28, June 2016.
  10. J. Ryu and J. Kim, "An Effective Fast Algorithm of BCS-SPL Decoding Mechanism for Smart Imaging Devices," Journal of Korea Multimedia Society, vol. 19, no. 2, pp. 200-208, Feb. 2016. https://doi.org/10.9717/kmms.2016.19.2.200
  11. J. Ryu and J. Kim, "Reconstructed Image Quality Improvement of Distributed Compressive Video Sensing Using Temporal Correlation," Journal of the Korea Industrial Information System Society, vol. 22, no. 2, pp. 27-34, Apr. 2017. https://doi.org/10.9723/jksiis.2017.22.2.027
  12. J. Ryu and J. Kim, "A Stabilization of MC-BCS-SPL Scheme for Distributed Compressed Video Sensing," Journal of Korea Multimedia Society, vol. 20, no. 5, pp. 731-739, March 2017. https://doi.org/10.9717/kmms.2017.20.5.731