基于Brenner图像清晰度评价方法的改进  

Improvement of Image Sharpness Evaluation Method Based on Brenner

作　　者：余七音 王辉[2] 黄忠虎[3] YU Qi-yin WANG Hui HUANG Zhong-hua(Company 1 of Battalion 1 CCE, PLAUST, Nanjing 210007, China College of Basic Education for Commanding Officers, PLAUST College of Communications Engineering, PLAUST)

机构地区：[1]解放军理工大学通信工程学院学员大队1营1连,江苏南京210007 [2]解放军理工大学指挥军官基础教育学院 [3]解放军理工大学通信工程学院

出　　处：《军事通信技术》2016年第4期75-77,97,共4页Journal of Military Communications Technology

摘　　要：图像清晰度评价的准确性将直接影响到自动调焦能否正确、可靠进行。传统的Brenner图像清晰度评价算法具有运算速度快的特点,但是受环境亮度的影响有时无法评价出最清晰的照片,造成错误对焦。论文针对这个问题对算法做出了改进,改进的算法在Brenner算法中引入一个因子,对评价值进行修正,很好地消除了环境亮度对评价的影响。The accuracy and efficiency of the sharpness function was a key to auto-focusing based on digital image processing technique. The traditional Brenner image definition evaluation algorithm has the characteristics of fast operation speed, but the influence of environmental brightness prevents the evaluation of the most clear photos, thus causing wrong focus. The paper made some improvement of the algorithm for this problem. The improved algorithm by introdu- cing a factor in the Brenner algorithm can modify the evaluation, which eliminates the influence of environmental brightness on evaluation.

关 键 词：图像清晰度 环境亮度 评价准确性 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]