图像的迭代识别与恢复

ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing Pub Date : 1990-12-31 DOI:10.1109/icassp.1988.196759

R. Lagendijk, A. Katsaggelos, J. Biemond

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引用次数: 155

摘要

模糊识别问题被表述为约束最大似然问题。约束直接将先验已知的模糊(和图像模型)系数之间的关系，如对称属性，纳入识别过程。由此产生的非线性最小化问题迭代求解，得到一个非常通用的辨识算法。给出了一个利用综合数据进行模糊识别的实例。

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Iterative identification and restoration of images

The blur identification problem is formulated as a constrained maximum-likelihood problem. The constraints directly incorporate a priori known relations between the blur (and image model) coefficients, such as symmetry properties, into the identification procedure. The resulting nonlinear minimization problem is solved iteratively, yielding a very general identification algorithm. An example of blur identification using synthetic data is given.<>

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ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing

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