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中文摘要：
针对基于聚类稀疏成分分析的盲图像源分离方法噪声敏感的问题,提出了一种抗加性高斯白噪声的盲图像源分离算法.通过分析混合图像与噪声图像间的相关性,估计混合图像中的噪声并去除,对去噪后的混合图像进行稀疏成分分析,即分离出源图像.实验结果表明,该算法能直接、有效地去除同分布的加性噪声,使叠加噪声的混合图像得到精确的分离.
英文摘要：
Aiming at the noise sensitivity of blind source separation for mixed images based on the cluste- ring sparse component analysis, a blind source separtation method for mixed images with additive white Gaussian noise is proposed. The noise intensity in mixed image is evaluated by correlation coefficients be- tween mixed image and noise image, then via sparse component analysis, the original images are separa- ted from denoising mixed images. Experiment shows that the presented algorithm can remove the noise ef- fectively, and extract the original images accurately from overlying noise mixed images.
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