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Low complexity energy efficient very low bit-rate image compression scheme for wireless sensor network

机译:无线传感器网络的低复杂度,高能效,低比特率图像压缩方案

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摘要

This paper presents an extremely fast and very low complex energy efficient image compression scheme for resource constrained, low powered devices in real time applications. The proposed Optimal Zonal 2×2 BinDCT is unique since it directly extracts and codes the DC Coefficient and the first three AC coefficients of an 8 × 8 image block using only shift-and-add operations. It is specifically designed for the resource constrained image sensor wireless networks requiring very low bitrates and is investigated in terms of image quality, entropy, processing time and overall energy consumption. Experiments are performed using the Atmel ATmega 128 processor to measure the computation time and the resultant energy savings. Simulation results show that the proposed algorithm is extremely simple, fast and consumes only 4% of computation energy needed by Independent JPEG Group IJG version and thus prolongs the system lifetime.
机译:本文针对实时应用中资源受限的低功耗设备提出了一种非常快速,非常低的复杂节能图像压缩方案。提议的最佳Zonal 2×2 BinDCT是唯一的,因为它仅使用移位和加法操作直接提取和编码8×8图像块的DC系数和前三个AC系数。它是专为要求非常低比特率的资源受限的图像传感器无线网络而设计的,并针对图像质量,熵,处理时间和总体能耗进行了研究。使用Atmel ATmega 128处理器进行实验以测量计算时间和由此产生的节能效果。仿真结果表明,该算法非常简单,快速,仅消耗独立JPEG Group IJG版本所需的4%的计算能量,从而延长了系统寿命。

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