基于反馈机制的抗混合噪声的盲图像源分离方案
摘要
Considering that the algorithm based on sparse component analysis cannot perfectly solve the problem about mixed images with noise, a new scheme utilizing feedback mechanism was presented to separate image sources blindly. Via sparse component analysis in wavelet domain and zero setting feedback mechanism, every channel of signal was extracted step by step. The experiment results showed that the proposed method does not need vast iteration and can separate all sources from the mixtures effectively. Compared to classic FastICA algorithm, the presented algorithm got higher accuracy.
引用本文（GB/T 7714）
Haihua Xing, Jindong Xu, Dan Hu, 等. 基于反馈机制的抗混合噪声的盲图像源分离方案[J]. Scientia Sinica Informationis, 2013.
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