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一种改进的图像清晰度评价函数
引用本文:孙越,栾晓明,赵芳. 一种改进的图像清晰度评价函数[J]. 应用科技, 2009, 36(9): 52-55. DOI: 10.3969/j.issn.1009-671X.2009.09.012
作者姓名:孙越  栾晓明  赵芳
作者单位:哈尔滨工程大学,信息与通信工程学院,黑龙江,哈尔滨,150001
摘    要:提出了一种基于Prewitt模板的图像清晰度评价函数的改进方法,并给出了实验结果和分析.设计了包括最低阈值、最高阈值与图像清晰度评价函数的归一化的一种改进算法,使得改进的图像清晰度评价函数与原Prewitt评价函数相比较,有很大提高.经过实验结果表明,该算法不仅具有单峰性强、无偏性好、灵敏度高等特点,而且还具有很好的抗噪声性能.

关 键 词:聚焦  清晰度评价函数  灰度梯度  阈值

An improved image-clarity evaluation function
SUN Yue,LUAN Xiao-ming,ZHAO Fang. An improved image-clarity evaluation function[J]. Applied Science and Technology, 2009, 36(9): 52-55. DOI: 10.3969/j.issn.1009-671X.2009.09.012
Authors:SUN Yue  LUAN Xiao-ming  ZHAO Fang
Affiliation:(College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China)
Abstract:This paper presents an improved image-clarity evaluation function, which is based on Prewitt convolution kernel for clarity-evaluation algorithm, and gives the experimental result and analysis of it. An improved algorithm that includes the low threshold, the top threshold and clarity-evaluation function normalized is designed, which makes the improved clarity-evaluation function advantageous compared with previous Prewitt algorithm. Experiments show that the method not only owns the characteristics of good unbiased, clear single apex, high sensitivity, and so on, but also has strong anti-noise performance
Keywords:focusing  clarity-evaluation function  gray-level gradient  threshold
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