一种基于边缘检测的视频图像稳定方法
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摘要
图像稳定技术是用来解决由于多种原因造成的图像质量下降的一种技术,其中的电子稳像技术由于其独有的特点得到了迅速的发展,也是目前国内外研究的热点之一。提出一种基于边缘检测的视频图像稳定技术,并将牛顿-拉夫森算法运用到仿射变换模型的参数估计当中,从而获得参考帧与当前帧之间的全局运动矢量。使得该方法具有速度快和精度高的特点。实验表明,改进的稳像算法对于视频的稳像具有较好的效果。
Image stabilization technology is a kind of technology to solve the degradation of image quality caused by many kinds of reasons,in which the electronic stabilization technology has been developed rapidly because of its unique characteristics,and it is also one of the hot spots of domestic and foreign research. A technology of Video Image Stabilization based on edge-detection was presented. The Newton Raphson Algorithm was used to estimate parameter in affine transform model,so we can obtain globe motion vector between the reference frame and the current frame.The method has the characteristics of high speed and high precision.The experiments show that improved algorithm has a better effect for improving video stabilization.
Image stabilization technology is a kind of technology to solve the degradation of image quality caused by many kinds of reasons,in which the electronic stabilization technology has been developed rapidly because of its unique characteristics,and it is also one of the hot spots of domestic and foreign research. A technology of Video Image Stabilization based on edge-detection was presented. The Newton Raphson Algorithm was used to estimate parameter in affine transform model,so we can obtain globe motion vector between the reference frame and the current frame.The method has the characteristics of high speed and high precision.The experiments show that improved algorithm has a better effect for improving video stabilization.
引文
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[15]Deepika Shukla,Rajib Kumar Jha,Aparajita Ojha.Digital image stabilization using similarity transformation over constrained Differential-Radon warping vectors[J].Signal Processing:Image Communication,2016,47:115-130.
[2]杨莉,邵克勇,刘远红,等.应用于电子稳像的改进块匹配算法[J].化工自动化及仪表,2014,41(5):553-556.
[3]张轶飞,马娜.新的解决大平移抖动的车载图像电子稳像算法[J].计算机应用研究,2015,32(11):3496-3500.
[4]朱娟娟,范静,郭宝龙.抗前景干扰的自适应电子稳像算法[J].光子学报,2015,44(6):45-52.
[5]张增,张巍,伍小洁,等.一种适用于电子稳像的图像补偿方法[J].光学与光电技术,2015,13(6):54-57.
[6]李冰,张超.传感器电子稳像的块匹配提前中止方法[J].光电工程,2016,43(11):76-81.
[7]Kexiang Liu,Chao Chang,Lu Zhao.A Type of Block Matching Algorithm Based on Image Edge Extraction[C].Proceedings of the 2012 International Conference on Information Technology and Software Engineering,2012,212:811-817.
[8]崔昌浩,王晓剑,刘鑫.基于特征点匹配的电子稳像算法研究[J].激光与红外,2015,45(9):1119-1122.
[9]吉淑娇,朱明,胡汉平,邢笑雪.基于特征匹配的视频稳像算法[J].吉林大学学报(工学版),2013,(43):322-325.
[10]吉淑娇,雷艳敏,朱明.基于背景特征点匹配的视频稳像[J].吉林大学学报(工学版),2016,(46):2116-2122.
[11]郑杰,刘杰,黄超,等.一种改进的基于角点检测的并行化电子稳像算法[J].复旦学报(自然科学版),2016,55(6):815-825.
[12]Xun Yu Zhong;Tian Hui Ren.Motion Model Parameters Estimation for Electronic Image Stabilization Instrument[J].Applied Mechanics and Materials,2013,327:1543-1546.
[13]Luis Araneda,Miguel Figueroa.A compact hardware architecture for digital image stabilization using integral projections[J].Microprocessors and Microsystems.2015,39(8):987-99.
[14]Weiping Yang,Zhilong Zhang,Yan Zhang et al.Real-time digital image stabilization based on regional field image gray projection[J].Journal of Systems Engineering and Electronics,2016,27(1):224-231.
[15]Deepika Shukla,Rajib Kumar Jha,Aparajita Ojha.Digital image stabilization using similarity transformation over constrained Differential-Radon warping vectors[J].Signal Processing:Image Communication,2016,47:115-130.