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Fusion of multisensor, multispectral, and defocused images

机译:多传感器,多光谱和离焦图像的融合

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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:融合基本上提取最佳输入并将其传送到输出。在本文中,我们介绍了一种使用频段上的感知信息的概念的图像融合技术。该算法与视觉灵敏度相关,并通过合并多传感器,多光谱和差异使用的图像来测试。通过使用来自源图像的分解金字塔的DWT系数形成一个熔化的金字塔来实现融合。通过传统的离散小波变换(DWT)重建过程获得熔融图像。使用所提出的方法获得的结果显示出失真伪像的显着降低和频谱信息的大量保存。

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