Multimedia Tools and Applications

, Volume 77, Issue 20, pp 26293–26313 | Cite as

Adaptive reconstruction based multiple description coding with randomly offset quantizations

  • Jingxiu Zong
  • Lili MengEmail author
  • Yanyan Tan
  • Jia Zhang
  • Yuwei Ren
  • Huaxiang Zhang


In this paper, we propose a novel multiple description image coding (MDC) method,which can be called adaptive reconstruction based multiple description coding with randomly offset quantizations (ARMDROQ). In this scheme, two prediction modes are proposed, which are be defined as mode 1 and mode 2 respectively. Specifically, in the proposed ARMDROQ scheme, the input image is partitioned into M subsets and obtaining M descriptions. Then one subset of each description is encoded and decoded directly, while others are predicted encoded and decoded by using adaptive prediction modes. The experimental results show that the proposed scheme achieves better performance than other existing methods.


Multiple description coding Adaptive reconstruction Prediction mode 



The work is partially supported by the National Natural Science Foundation of China (No. 61402268, 61401260, 61373081, 61401408, 61572298, 61601269, 61602285, 61601268), the Technology and Development Project of Shandong (No. 2013GGX10125), the Natural Science Foundation of Shandong China (No.BS2014DX006, ZR2014FM012, ZR2015PF006, ZR2016FB12) and the Taishan Scholar Project of Shandong, China.


  1. 1.
    Bai H, Lin W, Zhang M, Wang A, Zhao Y (2014) Multiple description video coding based on human visual system characteristics. IEEE Trans Circuits Syst Video Technol 24(8):1390–1394CrossRefGoogle Scholar
  2. 2.
    Bai H, Zhu C, Zhao Y (2007) Optimized multiple description lattice vector quantization for wavelet image coding. IEEE Trans Circuits Syst Video Technol 17 (7):912–917CrossRefGoogle Scholar
  3. 3.
    Goyal VK (2001) Multiple description coding: compression meets the network. IEEE Signal Process Mag 18(5):74–93CrossRefGoogle Scholar
  4. 4.
    Jayant NS (1981) Subsampling of a DPCM speech channel to provide Two Self-Contained Half-Rate channels. Bell Labs Tech J 60(4):501–509CrossRefGoogle Scholar
  5. 5.
    Jayant N, Christensen S (1981) Effects of packet losses in waveform coded speech and improvements due to an odd-even sample-interpolation procedure. IEEE Trans Commun 29(2):101–109CrossRefGoogle Scholar
  6. 6.
    Jiang W, Ortega A (1998) Multiple description coding via polyphase transform and selective quantization. In: Visual communications and image processing’99, vol 3653, International Society for Optics and Photonics, pp 998–1009Google Scholar
  7. 7.
    Kazemi M, Iqbal R, Shirmohammadi S (2017) Redundancy allocation based on the weighted mismatch-rate slope for multiple description video coding. IEEE Trans Multimedia 19(1):54–66CrossRefGoogle Scholar
  8. 8.
    Lin C, Tillo T, Zhao Y, Jeon B (2011) Multiple description coding for H. 264/AVC with redundancy allocation at macro block level. IEEE Trans Circuits Syst Video Technol 21(5):589–600CrossRefGoogle Scholar
  9. 9.
    Lin C, Zhao Y, Tillo T, Xiao J (2015) Multiple description coding for stereoscopic videos with stagger frame order. IEEE Trans Circuits Syst Video Technol 25(6):1016–1025CrossRefGoogle Scholar
  10. 10.
    Meng L, Liang J, Samarawickrama U, Zhao Y, Bai H, Kaup A (2014) Multiple description coding with randomly and uniformly offset quantizers. IEEE Trans Image Process 23(2):582–595MathSciNetCrossRefGoogle Scholar
  11. 11.
    Meng L, Liang J, Zhao Y, Bai H, Lin C, Kaup A (2013) M-channel multiple description coding based on uniformly offset quantizers with optimal deadzone. In: 2013 IEEE international conference on acoustics, speech and signal processing (ICASSP). IEEE, pp 2026–2030Google Scholar
  12. 12.
    Miguel AC, Mohr AE, Riskin EA (1999) SPIHT for generalized multiple description coding. In: 1999 international conference on image processing, 1999. ICIP 99. Proceedings, vol 3, IEEE, pp 842–846Google Scholar
  13. 13.
    Sun G, Samarawickrama U, Liang J, Tian C, Tu C, Tran TD (2009) Multiple description coding with prediction compensation. IEEE Trans Image Process 18(5):1037–1047MathSciNetCrossRefGoogle Scholar
  14. 14.
    Samarawickrama U, Liang J, Tian C (2010) M-channel multiple description coding with two-rate coding and staggered quantization. IEEE Trans Circuits Syst Video Technol 20(7):933–944CrossRefGoogle Scholar
  15. 15.
    Samarawickrama U, Liang J, Tian C (2011) A three-layer scheme for M-channel multiple description image coding. Signal Process 91(10):2277–2289CrossRefGoogle Scholar
  16. 16.
    Tian C, Hemami SS (2005) A new class of multiple description scalar quantizer and its application to image coding. IEEE Signal Process Lett 12(4):329–332CrossRefGoogle Scholar
  17. 17.
    Tillo T, Grangetto M, Olmo G (2007) Multiple description image coding based on Lagrangian rate allocation. IEEE Trans Image Process 16(3):673–683MathSciNetCrossRefGoogle Scholar
  18. 18.
    Vaishampayan V (1993) Design of multiple description scalar quantizers. IEEE Trans Inf Theory 39(3):821–834MathSciNetCrossRefGoogle Scholar
  19. 19.
    Wang Y, Orchard MT, Vaishampayan V, Reibman AR (2001) Multiple description coding using pairwise correlating transforms. IEEE Trans Image Process 10 (3):351–366CrossRefGoogle Scholar
  20. 20.
    Wang Y, Reibman AR, Orchard MT, Jafarkhani H (2002) An improvement to multiple description transform coding. IEEE Trans Signal Process 50(11):2843–2854CrossRefGoogle Scholar
  21. 21.
    Xiao J, Tillo T, Zhao Y (2013) Real-time video streaming using randomized expanding ReedCSolomon code. IEEE Trans Circuits Syst Video Technol 23(11):1825–1836CrossRefGoogle Scholar
  22. 22.
    Zong J, Meng L, Tan Y, Ren Y (2016) Perceptual multiple description coding with randomly offset quantizers. In: Signal and information processing association annual summit and conference (APSIPA), 2016 Asia-Pacific, IEEE, pp 1–5Google Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.School of Information Science and EngineeringShandong Normal UniversityJinanChina
  2. 2.Institute of Data Science and TechnologyShandong Normal UniversityJinanChina

Personalised recommendations