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Discrete Cosine Transform based fusion of multi-focus images for visual sensor networks

机译:基于离散余弦变换的多焦点图像融合,用于视觉传感器网络

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摘要

This paper presents a simple and efficient multi-focus image fusion scheme explicitly designed for wireless visual sensor systems equipped with resource constrained, battery powered image sensors employed in surveillance, hazardous environment like battlefields etc. Here the fusion of multi-focus images is based on higher valued Alternating Current (AC) coefficients calculated in Discrete Cosine Transform (DCT) domain. The proposed method overcomes the computation and energy limitation of low power devices and is investigated in terms of image quality and computation energy. Simulations are performed using Atmel Atmega128 processor of Mica 2 mote to measure the resultant energy savings. The experimental results verify the significant efficiency improvement of the proposed method in output quality and energy consumption, when compared with other fusion techniques in DCT domain.
机译:本文提出了一种简单有效的多焦点图像融合方案,该方案已明确设计用于无线视觉传感器系统,该系统配备了资源受限的电池供电图像传感器,用于监视,战场等危险环境等。这里的多焦点图像融合基于在离散余弦变换(DCT)域中计算的较高值的交流(AC)系数。所提出的方法克服了低功率设备的计算和能量限制,并且在图像质量和计算能量方面进行了研究。使用Mica 2 Mote的Atmel Atmega128处理器进行仿真,以测量节省的能源。与DCT领域中的其他融合技术相比,实验结果证明了该方法在输出质量和能耗方面的效率显着提高。

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