一种基于能量-灰度分布的图像清晰度评价方法

在分析了传统的清晰度评价函数后，提出了一种适用于评价光学滤波后成像质量好坏的图像清晰度评价算法。给出了该算法的原理和过程，该算法较之前的清晰度评价算法相比，更多的考虑了应用背景中光强对图像质量的影响。与其他几种清晰度评价函数的实验对比结果表明，该方法有效的克服了梯度平方函数的缺点，不仅适用于自动聚焦领域，对普通的图像清晰度评价也十分有效。

An Evaluation Algorithm for Image Sharpness Based on Energy-Grayscale Distribution

An image sharpness evaluation algorithm is proposed to evaluate the quality of image which has been optical filtered. The theory and process of this algorithm are analyzed, which attaches im-portance more on the influence of light intensity on the quality of image than other previous algorithms. Compared with other image sharpness evaluation algorithms, the experimental results show that this method overcomes the disadvantages of gradient square function, and would be effective in the evaluation not only in the automatic focusing field but the general images.