Blind image quality assessment based on wavelet power spectrum in perceptual domain

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	Blind image quality assessment based on wavelet power spectrum in perceptual domain
	Lu, P.; Y. Li; L. Jin and S. Han
刊名	Transactions of Tianjin University
	2016
卷号	22 期号:6
英文摘要	Traditional moving target detection under a moving base has a problem of larger background interference, and its detection accuracy is effected by the noise interference. This paper proposes a moving target detection method under the moving base by using orthogonal Fourier transform and kernel-grayscale chart to overcome the influence of a larger illumination change and background noise on moving target detection accuracy. Firstly, the evaluation function was introduced the selection of a feature matching block to implement the sub-block matching of video backgrounds. Then, global motion compensation parameters were estimated by using a phase-correlation algorithm based on orthogonal Fourier transform, and each Gaussian kernel value of each sub-block of the image was calculated to build a nuclear function-gray chart and to determine the area of moving target according on the change of the adjacent frame Gaussian kernel value. Finally, the image sub-block with moving target was divided and processed, and the moving target detection was implemented. The simulation in comparison with conventional moving object detection algorithm shows that when the evaluation coefficient in the evaluation function is set to be 0.7, and inter tile similarity threshold to be 0.3, the algorithm can effectively inhibit the background interference from illumination changes and background noise and can detect the moving target under the moving base. The algorithm has fast calculation speeds and meets real-time requirements of engineering. 2016, Science Press. All right reserved.
收录类别	EI
语种	英语
内容类型	期刊论文
源URL	[http://ir.ciomp.ac.cn/handle/181722/57113]
专题	长春光学精密机械与物理研究所_中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Lu, P.,Y. Li,L. Jin and S. Han. Blind image quality assessment based on wavelet power spectrum in perceptual domain[J]. Transactions of Tianjin University,2016,22(6).
APA	Lu, P.,Y. Li,&L. Jin and S. Han.(2016).Blind image quality assessment based on wavelet power spectrum in perceptual domain.Transactions of Tianjin University,22(6).
MLA	Lu, P.,et al."Blind image quality assessment based on wavelet power spectrum in perceptual domain".Transactions of Tianjin University 22.6(2016).