Modeling and Adapting JPEG to the Energy Requirements of VSN

A. Mammeri, A. Khoumsi, D. Ziou, Brahim Hadjou
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引用次数: 33

Abstract

We address the problem of modeling and adapting JPEG to the energy requirements of visual sensor networks (VSN). For JPEG modeling purposes, we develop a simplified high-level energy consumption model for each stage of JPEG-like scheme, which can be used to roughly evaluate the energy dissipated by a given visual sensor. This model is based on the basic operations needed at each stage of JPEG, and it does not take into account the complexity of implementation. For JPEG adaptation, we propose to process only a reduced part of each block of 8times8 DCT coefficients of the target image, which minimizes the dissipated energy and maximizes the system lifetime, while preserving an adequate image quality at the sink.
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JPEG的建模和适应VSN的能量需求
我们解决了建模和调整JPEG以适应视觉传感器网络(VSN)的能量需求的问题。为了JPEG建模的目的,我们为类JPEG方案的每个阶段开发了一个简化的高级能耗模型,该模型可用于大致评估给定视觉传感器消耗的能量。该模型基于JPEG各阶段所需的基本操作,没有考虑实现的复杂性。对于JPEG适应,我们建议只处理目标图像的8times8 DCT系数的每个块的减少部分,这样可以最小化耗散的能量并最大化系统寿命,同时在接收器处保持足够的图像质量。
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