基于最大电流AC-DCT的视觉传感器网络彩色数字图像融合性能评价

Arun Begill, Shruti Puniani, Kamaljot Singh, Navjot Kaur
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引用次数: 0

摘要

提出了一种有效的数字图像融合策略,使视觉传感器网络(VSN)能够在战场等资源受限的危险环境中工作。我们的目标是使用多个部分未聚焦的彩色图像来开发一个单一的多聚焦图像,使用离散余弦变换(DCT)依赖于最大值交流电流(AC)系数。这种技术有利于在计算能力较弱的设备的计算受限环境中获得更高程度的图像质量。我们的实验表明,与其他可用的DCT域融合方法相比,评估的技术产生了更好的图像质量。
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Evaluating the performance of max current AC-DCT based colored digital image fusion for Visual Sensor Network's
This paper presents an efficient digital image fusion strategy that is created for Visual Sensor Networks(VSN's) to work in resource restricted, hazardous environments like battlefields. We aimed to use multiple partially unfocused colored images to develop a single multi-focus image using Discrete Cosine Transformation(DCT) depending on maximum value Alternating Current(AC) coefficients. This technique is beneficial in computation restricted environments of reduced computational powered devices to achieve image quality of higher degree. Our experiments shown that, the evaluated technique had produced better quality images as compared to other available methods of fusion in DCT domain.
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