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Fusion of multisensor, multispectral and defocused images

机译:多传感器,多光谱和散焦图像的融合

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摘要

Fusion is basically extraction of best of inputs and conveying it to the output. In this paper, we present an image fusion technique using the concept of perceptual information across the bands. This algorithm is relevant to visual sensitivity and tested by merging multisensor, multispectral and Defoucused images. Fusion is achieved through the formation of one fused pyramid using the DWT coefficients from the decomposed pyramids of the source images. The fused image is obtained through conventional discrete wavelet transform (DWT) reconstruction process. Results obtained using the proposed method show a significant reduction of distortion artifacts and a large preservation of spectral information.
机译:融合基本上是提取最佳的输入并将其传送到输出。在本文中,我们提出了一种跨频带使用感知信息概念的图像融合技术。该算法与视觉灵敏度有关,并且通过合并多传感器,多光谱和去污图像进行了测试。通过使用源图像的分解金字塔中的DWT系数形成一个融合金字塔来实现融合。通过常规离散小波变换(DWT)重建过程获得融合图像。使用所提出的方法获得的结果显示出失真伪像的显着减少和光谱信息的大量保留。

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