基于Bottom-hat频谱方法的运动模糊参数估计方法

doi:10.11896/j.issn.1002-137X.2018.08.007

计算机科学 ›› 2018, Vol. 45 ›› Issue (8): 36-40.doi: 10.11896/j.issn.1002-137X.2018.08.007

• 2017 中国多媒体大会 • 上一篇下一篇

基于Bottom-hat频谱方法的运动模糊参数估计方法

方正¹, , 曹铁勇¹, 付铁连²

陆军工程大学指挥信息系统学院南京210007¹
装备发展部信息系统局北京100034²

收稿日期:2017-10-24 出版日期:2018-08-29 发布日期:2018-08-29
作者简介:方正(1994－),男,硕士生,主要研究领域为图像视频信号处理、图像显著性检测,E-mail:542050417@qq.com; 曹铁勇(1971－),男,博士,教授,主要研究领域为语音信号处理、图像视频信号处理,E-mail:cty_ice@sina.com(通信作者); 付铁连(1979－),男,硕士,工程师,主要研究领域为信息与信号处理,E-mail:171175535@qq.com。
基金资助:
本文受国家自然科学基金(61471394,61402519),江苏省自然科学基金(BK20140071,BK20140074),陕西省自然科学基金(2017JQ6033)资助。

Motion Blur Parameters Estimation Based on Bottom-hat Using Spectrum

FANG Zheng¹, CAO Tie-yong¹, FU Tie-lian²

Institute of Command Information System,Army Engineering University,Nanjing 210007,China¹
Equipment Development Department Information Systems Board,Beijing 100034,China²

Received:2017-10-24 Online:2018-08-29 Published:2018-08-29

摘要/Abstract

摘要： 运动模糊是由于物体与成像系统间的相对运动而形成的,匀速直线模糊图像的复原需要得到精确的模糊参数。根据理论,匀速直线运动模糊的模糊参数与频谱中的零点有关,其频谱暗线数目与模糊尺度有关,且频谱暗线与角度垂直。在检测频谱暗线时,由于受到图像结构或者噪声影响,难以准确定位频谱暗线;同时,图像长宽比的不同也会影响频谱结构。针对以上问题,文中利用形态学中的Bottom-hat操作对模糊图像频谱进行处理,并对处理后的频谱采用霍夫变换得到模糊角度,再利用模糊角度和中心零点距离得出模糊尺度。实验结果表明,该方法检测模糊尺度的误差小于0.25个像素,角度小于0.6°,且拥有较好的稳定性,可以正确检测不同尺度和内容模糊图像的模糊参数。

关键词: 底帽变换, 傅里叶频谱, 霍夫变换, 模糊尺度, 模糊角度, 运动模糊

Abstract: Motion blur is caused by the relative motion between object and imaging system,and precise motion blur parameters are needed when the uniform linear motion-blurred image is recovered.It can be proved that the motion blur parameters are relative to the zero points of Fourier spectrum.The number of dark lines is related to the fuzzy scale,and the spectrum dark lines are perpendicular to the angle.In the detection of the dark lines of spectrum,due to the image structure or noise,it is difficult to accurately locate the spectral dark lines,and the spectral structure will be affected by image’s aspect ratio.To deal with these problems,this paper proposed a way named bottom-hat which are used in morphology and processed it in the blur image spectrum,and then used the Hough transform to find the blurred angles.Blurred angles and the distance between two mid zero points were used to find the blurred length.Experimental results show that the errors of blurred length detected by the proposed method are lower than 0.25 pixels,and the errors of the angle are lower than 0.6°.The proposed method is very robust for it can estimate the blur parameters of blurred images in different scales and contents.

Key words: Blur angle, Blur length, Bottom-hat transform, Fourier spectrum, Hough transform, Motion blur

中图分类号:

TP391.4

方正, , 曹铁勇, 付铁连. 基于Bottom-hat频谱方法的运动模糊参数估计方法[J]. 计算机科学, 2018, 45(8): 36-40. https://doi.org/10.11896/j.issn.1002-137X.2018.08.007

FANG Zheng, CAO Tie-yong, FU Tie-lian. Motion Blur Parameters Estimation Based on Bottom-hat Using Spectrum[J]. Computer Science, 2018, 45(8): 36-40. https://doi.org/10.11896/j.issn.1002-137X.2018.08.007

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基于Bottom-hat频谱方法的运动模糊参数估计方法

Motion Blur Parameters Estimation Based on Bottom-hat Using Spectrum

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