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浙江大学学报(工学版)
J4  2014, Vol. 48 Issue (2): 312-320    DOI: 10.3785/j.issn.1008-973X.2014.02.019
光学工程、工程力学     
基于强边缘宽度直方图的图像清晰度指标
张天煜, 冯华君, 徐之海, 李奇, 陈跃庭
浙江大学 现代光学仪器国家重点实验室,浙江 杭州 310027
Sharpness metric based on histogram of strong edge width
ZHANG Tian-yu, FENG Hua-jun, XU Zhi-hai, LI Qi, CHEN Yue-ting
State Key Laboratory of Modern Optical Instrumentation, Zhejiang University, Hangzhou, 310027, China
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摘要：

针对图像清晰度评价在图像、视频领域应用的重要性,提出一种新的无参考图像清晰度评价指标.算法从图像模糊会造成边缘扩散的原理出发,通过自适应阈值的梯度算子求取含强边缘信息的图像,在得到各强边缘宽度的基础上建立强边缘宽度直方图,以此提出基于直方图信息的距离因子,通过将该因子引入到加权平均求取强边缘平均宽度的模型中,得到清晰度评价指标.实验结果表明,相比于主流的基于边缘宽度的清晰度评价方法,该方法更能够满足与图像内容无关性的要求,该方法的结果更接近于人眼主观评价.
Abstract:

This paper presented a novel no-reference sharpness/blurriness metric due to its importance in image, video applications. Based on the principle that image blurring caused edge to spread, this algorithm used a self-adapting gradient operator to compute a gradient image, which contained strong edges. The width of each strong edge was calculated and its histogram was generated. Based on the information of histogram, a distance factor was proposed. The factor was introduced into the model, which could gain the average width of strong edges by the weighted mean method, and the sharpness metric could be obtained. Comparing with the state-of-the-art edge width based sharpness evaluation, this algorithm works more efficiently. According to experimental results, the proposed method shows its good performance in content independence and high correlation with subjective assessment.
出版日期: 2014-02-01
:  TP 391  
基金资助:

 国家自然科学基金资助项目(61178064,61275021).
通讯作者: 冯华君,男,教授,博导.     E-mail: fenghj@zju.edu.cn
作者简介: 张天煜(1988—),男,硕士,从事光学图像处理、自动对焦等方面的研究.E-mail: daydaychang@gmail.com
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引用本文:

张天煜, 冯华君, 徐之海, 李奇, 陈跃庭. 基于强边缘宽度直方图的图像清晰度指标[J]. J4, 2014, 48(2): 312-320.

ZHANG Tian-yu, FENG Hua-jun, XU Zhi-hai, LI Qi, CHEN Yue-ting. Sharpness metric based on histogram of strong edge width. J4, 2014, 48(2): 312-320.

链接本文:

http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2014.02.019    或    http://www.zjujournals.com/eng/CN/Y2014/V48/I2/312

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