CAJ | 학술논문

针对复杂背景中微弱运动目标检测困难的问题,提出了一种基于小波域DCT变换的背景杂波抑制方法.该方法根据背景杂波和运动目标的不同频率特性,采用低频小波子带频域滤波的方法得到有效抑制背景杂波的残差图像,从而达到抑制背景杂波的目的.该方法首先对原始图像进行小波变换,接着对低频小波子带进行二维DCT变换,再用高斯低通滤波器对DCT变换结果进行滤波,然后对滤波结果进行IDCT变换,最后对滤波前后的低频小波子带作差分处理,对差分结果进行小波逆变换.实验结果表明,该方法处理后得到的残差图像呈现出很好的高斯性和独立性,并且目标邻域信杂比(SCNR)的平均增益比图像直接频域滤波的目标邻域信杂比平均增益提高2 dB以上,算法性能明显优于传统的图像频域滤波算法.
침대복잡배경중미약운동목표검측곤난적문제,제출료일충기우소파역DCT변환적배경잡파억제방법.해방법근거배경잡파화운동목표적불동빈솔특성,채용저빈소파자대빈역려파적방법득도유효억제배경잡파적잔차도상,종이체도억제배경잡파적목적.해방법수선대원시도상진행소파변환,접착대저빈소파자대진행이유DCT변환,재용고사저통려파기대DCT변환결과진행려파,연후대려파결과진행IDCT변환,최후대려파전후적저빈소파자대작차분처리,대차분결과진행소파역변환.실험결과표명,해방법처리후득도적잔차도상정현출흔호적고사성화독립성,병차목표린역신잡비(SCNR)적평균증익비도상직접빈역려파적목표린역신잡비평균증익제고2 dB이상,산법성능명현우우전통적도상빈역려파산법.
Aiming to detect dim moving targets in complex background, the low wavelet belt was frequency filtered to suppress background clutter and get the residual image according to the different frequency characteristics of background clutter and moving targets.Firstly,performed the wavelet transform,and operated DCT of two dimension to the low wavelet belt(LL),filtered the lower frequency components of LL by Gaussian lower pass filter, and then did the IDCT to the filtering results.Operated the difference process between the pre- and after filtering LL.Finally,carried out the inverse wavelet transform.The experiment results show that the residual image obtained by this method has very good Gaussian normality and independence, and the average gain of the target's neighbor SCNR (signal-to-clutter-noise ratio) is improved above 2dB, compared with the image frequency filtering algorithms. So the method has better performance than conventional image frequency filtering method.