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An Image Compression Scheme in Wireless Multimedia Sensor Networks Based on NMF

机译:基于NMF的无线多媒体传感器网络中的图像压缩方案

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With the goal of addressing the issue of image compression in wireless multimedia sensor networks with high recovered quality and low energy consumption, an image compression and transmission scheme based on non-negative matrix factorization (NMF) is proposed in this paper. First, the NMF algorithm theory is studied. Then, a collaborative mechanism of image capture, block, compression and transmission is completed. Camera nodes capture images and send them to ordinary nodes which use an NMF algorithm for image compression. Compressed images are transmitted to the station by the cluster head node and received from ordinary nodes. The station takes on the image restoration. Simulation results show that, compared with the JPEG2000 and singular value decomposition (SVD) compression schemes, the proposed scheme has a higher quality of recovered images and lower total node energy consumption. It is beneficial to reduce the burden of energy consumption and prolong the life of the whole network system, which has great significance for practical applications of WMSNs.
机译:为了解决无线多媒体传感器网络中具有较高恢复质量和低能耗的图像压缩问题,提出了一种基于非负矩阵分解的图像压缩和传输方案。首先,研究了NMF算法理论。然后,完成了图像捕获,分块,压缩和传输的协作机制。摄像机节点捕获图像并将其发送到使用NMF算法进行图像压缩的普通节点。压缩的图像由群集头节点发送到站点,并从普通节点接收。工作站进行图像恢复。仿真结果表明,与JPEG2000和奇异值分解(SVD)压缩方案相比,该方案具有更高的恢复图像质量和更低的总节点能耗。有利于减轻能耗负担,延长整个网络系统的寿命,这对于WMSN的实际应用具有重要意义。

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