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| 用遗传算法估计图像退化系统函数 |
| Estimation of image degradation system function in genetic algorithm |
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| DOI： |
| 中文关键词: 遗传算法 退化系统 图像恢复 |
| 英文关键词:genetic algorithm image degradation system image restoration |
| 基金项目: |
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| 摘要点击次数: 4076 |
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| 中文摘要: |
| 目前关于图像恢复的算法有很多,而这些算法大多是基于退化函数或者点扩展函数的知识进行的。当对退化函数先验知识不足时,设计出的恢复滤波器的恢复效果必将不够理想,因此有必要在设计恢复滤波器之前做系统的退化函数估计。遗传算法是一种成熟稳定的仿生物进化的全局寻优算法,由于遗传算法控制参数少、自适应度高,将选择该方法做退化函数的估计。实验结果表明,遗传算法从全局寻优的角度出发,能够较为精确地估计退化系统函数。 |
| 英文摘要: |
| Currently there are many different ways of image restoration,a large part of which are based on the image degradation system or the point spread function.When preexistent information about the degradation system is not sufficient,it is necessary to estimate the degradation system before designing the restoration filter,otherwise,the effect of the restoration filter is sure to fall short of expectation.Genetic algorithm is a mature and stable imitation of biological evolution of optimization algorithm.With less controlled parameters,genetic algorithm is thus selected here as the method of evaluating degradation system.The results of the experiment suggest that from the point of view of global optimization,genetic algorithm could estimate the image degradation system accurately. |
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