Adaptive reconstruction based multiple description coding with randomly offset quantizations

被引:8
作者
Zong, Jingxiu [1 ,2 ]
Meng, Lili [1 ,2 ]
Tan, Yanyan [1 ,2 ]
Zhang, Jia [1 ,2 ]
Ren, Yuwei [1 ,2 ]
Zhang, Huaxiang [1 ,2 ]
机构
[1] Shandong Normal Univ, Sch Informat Sci & Engn, Jinan 250014, Shandong, Peoples R China
[2] Shandong Normal Univ, Inst Data Sci & Technol, Jinan 250014, Shandong, Peoples R China
基金
中国国家自然科学基金;
关键词
Multiple description coding; Adaptive reconstruction; Prediction mode; REDUNDANCY ALLOCATION; CHANNEL; QUANTIZERS; TRANSFORM; SPEECH;
D O I
10.1007/s11042-018-5857-0
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:26293 / 26313
页数:21
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