Image Signal Separation by Adaptive Blind Fuzzy Estimator

摘要

Image signals may be mixed in receiver of a visual information communication system and human eyes cannot recognize those overlapped images. An adaptive blind fuzzy estimator is proposed to separate mixed image source signals in this paper. First of all, principal component analysis (PCA) is used to reduce the size of unmixing matrix. Then an adaptive blind fuzzy estimator is designed for realizing image signal separation steadily. In addition, the simulation outcomes illustrate that the proposed scheme guarantees a valuable separation performance.