基于全色图像与强图像相关性的IHS融合算法

Hak Chang Kim, J. Kuk, H. S. Song, N. Cho
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引用次数: 0

摘要

近年来提出了一种权衡参数的方法来降低传统的基于强度-色调饱和度(IHS)的图像融合算法所固有的光谱失真。该参数控制光谱分辨率和空间分辨率的贡献,在保持空间分辨率的前提下减少光谱失真。在本文中,我们试图通过建立一个区域相关的分段线性控制模型来改进权衡参数方法,而现有的方法是通过试错来确定全局参数。利用基于分块的全色图像和强图像的相关性,获得优化的权衡参数,以控制图像的空间和光谱分辨率。实验结果表明,该方法在客观上和主观上都取得了令人满意的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An IHS fusion algorithm based on the correlation of panchromatic and intensity images
A trade-off parameter approach was recently introduced for the reduction of spectral distortion inherent in the conventional intensity-hue-saturation (IHS) based image fusion algorithm. The parameter controls the contributions of spectral and spatial resolution in order to reduce the spectral distortion while keeping the spatial resolution. In this paper, we attempt to improve the trade-off parameter approach by developing an area dependent piecewise linear control model, whereas the existing method determines the global parameter by trial and error. Block based correlation of panchromatic and intensity images is used to acquire an optimized tradeoff parameters to control the spatial and spectral resolution of the image. Experimental results show that the proposed method provides satisfying results both objectively and subjectively.
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