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Adaptive reconstruction based multiple description coding with randomly offset quantizations

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Abstract

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.

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Acknowledgements

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.

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Authors and Affiliations

  1. School of Information Science and Engineering, Shandong Normal University, Jinan, 250014, Shandong, China

    Jingxiu Zong, Lili Meng, Yanyan Tan, Jia Zhang, Yuwei Ren & Huaxiang Zhang

  2. Institute of Data Science and Technology, Shandong Normal University, Jinan, 250014, Shandong, China

    Jingxiu Zong, Lili Meng, Yanyan Tan, Jia Zhang, Yuwei Ren & Huaxiang Zhang

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  1. Jingxiu Zong
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  2. Lili Meng
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  3. Yanyan Tan
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  4. Jia Zhang
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  5. Yuwei Ren
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  6. Huaxiang Zhang
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Correspondence to Lili Meng.

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Zong, J., Meng, L., Tan, Y. et al. Adaptive reconstruction based multiple description coding with randomly offset quantizations. Multimed Tools Appl 77, 26293–26313 (2018). https://doi.org/10.1007/s11042-018-5857-0

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  • DOI: https://doi.org/10.1007/s11042-018-5857-0

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