面向WMSN的图像分层采样多描述编码研究

Multiple Description Coding of Image Layered Sampling for Wireless Media Sensor Network

  • 摘要: 针对数据包出错及丢失的情况下无线多媒体传感器网络(wireless media sensor networks, WMSNs)图像传输的鲁棒性问题,提出一种图像分层采样多描述编码(multiple description coding,MDC)方法. 该方法以小波变换为基础,充分利用小波系数的结构特征,按分解层不同选择不同模板的采样方式,实现图像数据的多描述编码传输. 同时,在接收端收到单个描述情况下运用非线性相关算法重建原图像. 实验结果表明,与典型的梅花采样方法相比,所提出的算法在相同码率下可降低编码时间24.06%,并可在接收端获得良好的重建图像质量.

     

    Abstract: In wireless media sensor networks(WMSNs), the case of data packets lose or error is inevitable. In order to provide robust image transmission, multiple description coding (MDC) of layered sampling algorithm is proposed base on wavelet transform. The scheme utilizes fully data characteristic and employs different sampling in different sub-bands to realize the MDC transportation of image. Furthermore, a nonlinear correlation algorithm is introduced to reconstruct image when receiving single description. Experimental results show that, compared with typical quincunx sampling methods, the proposed algorithm achieves significant decrease of approximately 24.06% in coding time under the same code rate and better performance in image quantity at the receiver.

     

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