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Adaptive Compression of Slowly Varying Images Transmitted over Wireless Sensor Networks

机译:通过无线传感器网络传输的缓慢变化图像的自适应压缩

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摘要

In this article a scheme for image transmission over Wireless Sensor Networks (WSN) with an adaptive compression factor is introduced. The proposed control architecture affects the quality of the transmitted images according to: (a) the traffic load within the network and (b) the level of details contained in an image frame. Given an approximate transmission period, the adaptive compression mechanism applies Quad Tree Decomposition (QTD) with a varying decomposition compression factor based on a gradient adaptive approach. For the initialization of the proposed control scheme, the desired a priori maximum bound for the transmission time delay is being set, while a tradeoff among the quality of the decomposed image frame and the time needed for completing the transmission of the frame should be taken under consideration. Based on the proposed control mechanism, the quality of the slowly varying transmitted image frames is adaptively deviated based on the measured time delay in the transmission. The efficacy of the adaptive compression control scheme is validated through extended experimental results.
机译:本文介绍了一种通过自适应压缩因子在无线传感器网络(WSN)上进行图像传输的方案。所提出的控制体系结构根据以下因素影响所传输图像的质量:(a)网络中的流量负载,以及(b)图像帧中包含的详细程度。给定一个近似的传输周期,自适应压缩机制将基于梯度自适应方法,应用具有可变分解压缩因子的四叉树分解(QTD)。对于所提出的控制方案的初始化,设置传输时间延迟的期望的先验最大界限,而应该在分解图像帧的质量和完成帧的传输所需的时间之间进行权衡。考虑。基于提出的控制机制,根据传输中测得的时间延迟来自适应地改变缓慢变化的传输图像帧的质量。通过扩展的实验结果验证了自适应压缩控制方案的有效性。

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