图像的盲分离

Conference Record of The Thirtieth Asilomar Conference on Signals, Systems and Computers Pub Date : 1996-11-03 DOI:10.1109/ACSSC.1996.600839

H. Sahlin, H. Broman

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引用次数: 5

摘要

本文研究了从两幅观测图像的混合图像中分离两幅不相关图像的问题。每个观测图像被建模为一个原始图像和另一个原始图像通过二维FIR滤波器滤波的总和。提出了一种基于二阶统计量的分离结构和最小化准则来估计这些滤波器的算法。这种分离结构可用于提取两幅不相关的图像。并给出了仿真结果。

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Blind separation of images

The problem of separating two uncorrelated images from two observed mixtures of these images is considered in this paper. Each observed image is modeled as the sum of one original image and another original image filtered through a two dimensional FIR filter. An algorithm, to estimate these filters, is presented from a separation structure and a minimization of a criterion based on second order statistics. This separation structure can be used in order to extract two uncorrelated images. Simulation results are also presented.

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来源期刊

Conference Record of The Thirtieth Asilomar Conference on Signals, Systems and Computers

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