遗传算法的信噪比优化

Computer analysis of images and patterns : proceedings of the ... International Conference on Automatic Image Processing. International Conference on Automatic Image Processing Pub Date : 1997-10-26 DOI:10.1109/ICIP.1997.647763

S. Suthaharan, Zhongwei Zhang

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引用次数: 2

摘要

本文提出了一种基于遗传算法的图像恢复维纳滤波器中信噪比的先验知识/spl γ /的最优值求解方法。该方法可与任何图像质量评估措施结合在控制实验中使用，以获得该措施的最佳/spl Gamma/。在控制实验中，采用最小均方误差(MSE)和图像活动加权误差(IAWE)。

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SNR optimisation using genetic algorithm

A new technique based a genetic algorithm is proposed in this paper to find the optimal value of the ratio /spl Gamma/, which is a priori knowledge of the signal-to-noise ratio, in the Wiener filter for image restoration. The proposed method can be used in a control experiment in conjunction with any image-quality-assessment measure in order to obtain the optimal /spl Gamma/ for the measure. In the control experiment, the minimum mean square error (MSE) and image activity weighted error (IAWE) are used.

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Computer analysis of images and patterns : proceedings of the ... International Conference on Automatic Image Processing. International Conference on Automatic Image Processing

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