视觉传感器网络中一种新的多质量图像融合方法

Minghua Yang, Yuanda Cao, Li Tan, Changyou Zhang, Jiong Yu
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引用次数: 2

摘要

带宽、能耗和时延一直是视觉传感器网络的瓶颈。针对上述问题,本文提出了一种基于区域映射的分层多质量图像融合方法。摄像机视图根据映射关系和节点的结构化部署划分区域。采用运动注意分析和最近邻采样的方法对图像的局部注意区域进行优化。分析并验证了所提出的融合方法在不增加能量和带宽的情况下提高监控图像质量的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A New Multi-quality Image Fusion Method in Visual Sensor Network
Bandwidth, energy consumption and delay are always bottlenecks of visual sensor network. In this paper a hierarchical multi-quality image fusion method based on region-mapping is proposed to improve above condition. Camera view is divided into regions according to mapping relation and the structured deployment of nodes. The methods of motion attention analysis and nearest neighbor sampling are also adopted to optimize the local attention region of the image. The proposed fusion method is analyzed and verified to be effective to improve the quality of the monitor image with no need for more energy and bandwidth.
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