[1]田若良,刘柏森. 基于频域能量分割的图像模糊度评价方法[J].计算机技术与发展,2015,25(06):101-105.
　TIAN Ruo-liang,LIU Bai-sen. An Evaluation Method of Image Blur Based on Frequency Domain Energy Partition[J].,2015,25(06):101-105.
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 基于频域能量分割的图像模糊度评价方法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
25
期数:
2015年06期
页码:
101-105
栏目:
智能、算法、系统工程
出版日期:
2015-06-10

文章信息/Info

Title:
 An Evaluation Method of Image Blur Based on Frequency Domain Energy Partition
文章编号:
1673-629X（2015)06-0101-05
作者:
 田若良; 刘柏森
 黑龙江工程学院 电气与信息工程学院
Author(s):
 TIAN Ruo-liang; LIU Bai-sen
关键词:
 ; 图像模糊度; 频域; 图像分割; 快速傅里叶变换
Keywords:
 ; image blur; frequency domain; image segmentation; FFT
分类号:
TP391
文献标志码:
A
摘要:
 如今许多领域都会涉及到图像处理。在图像的获取途径中可能会由于摄像头质量问题，或者拍摄方式，又或者拍摄时的天气等原因令获取到的图像变得很模糊。图像如果模糊，对后续的许多工作都会造成很大的影响，所以对图像进行模糊度的调整就显得很重要，而在调整前需知道图像的具体模糊程度，于是对图像模糊度的评价就极为重要。基于此，文中提出了一种通过分析图像频域中的特点，并利用图像分割的方法来对图像进行模糊度的评价。通过观测仿真结果，表明该方法规律性较强且易于实现。
Abstract:
 Today,many areas are related to image processing. The image may be blurred in the acquisition due to many possible reasons, such as the quality of the camera,the recording mode,or bad weather condition. If image quality is fuzzy,it will cause great impact on the follow work. The image ambiguity adjustment is particularly important. Before the adjusting,need to know the specific degree of the im-age blur,so the evaluation of the ambiguity of the image is extremely important. Based on this,present a method to analyze image charac-teristics of the frequency domain and use image segmentation to evaluate the image blur. By observing the simulation results,this method is easy to implement and has high regularity.

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更新日期/Last Update: 2015-07-27