评价各种数字图像融合算法的不足

Arun Begill, Sankalap Arora
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引用次数: 1

摘要

针对资源受限的视觉传感器网络、CCD器件上的电池供电图像传感器、战场等危险环境,探讨了简单、系统的数字图像融合方法。在离散余弦变换中计算的多模态图像融合是基于最大的交流系数。该方法控制了低功耗器件的计算和能量限制,在图像质量和计算能量的基础上进行探索。本文的总体目标是设计和实现各种图像融合技术,以在现有的已知技术中找到最佳的图像融合技术。为了进一步提高AC-DCT融合方法的性能,本文提出了今后的发展方向。
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Evaluating the short comings of the various digital image fusion algorithms
The image fusion methods have discussed easy and systematic digital image fusion method which is clearly designed for visual sensor networks prepare with resource constrained, battery power image sensors signed in CCD device, dangerous environment like battlefields etc. Here the fusion of multi-modal images compute in Discrete Cosine Transform is based on maximum value alternating current (AC) coefficients. The method controls the calculations and energy limitation of low power devices and explore on the basis of image quality and calculation energy. The overall objective of this paper is to design and implement the various image fusion techniques to find the best technique among the available well-known techniques. This paper ends up with the suitable future directions in order to enhance the AC-DCT fusion method further.
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