27 January 2009 Global motion estimation for digital image stabilization based on a novel matching algorithm
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Abstract
A novel image block matching algorithm based on motion vectors of correlative pixels in oblique direction is presented for digital image stabilization. Digital image stabilization is the new generation of image stabilization technology which can obtains the information of relative motion between frames of dynamic image sequences through the method of digital image processing. The image matching algorithm is one of the digital image stabilization methods. But when the grey values of pixels in the matching image block don't have obvious change or the shaking frame has rotational motion with the referenced frame, the matching effect of the traditional algorithm is not ideal. The novel matching algorithm calculated in 45 degrees oblique direction is presented. The matching parameters in this method contain transverse vectors and vertical vectors in the image blocks at the same time. More veracious matching information can be obtained after making correlative operation in the oblique direction. The novel method can make sure that matching precision can be less than 0.5 pixels when the excursion value in shaking frame are 40 pixels. When the image sequences have rotational motion less than 15 degree, the right matching blocks also can be obtained in this algorithm.
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Fei Yu, Fei Yu, Mei Hui, Mei Hui, Qian Song, Qian Song, Yue-jin Zhao, Yue-jin Zhao, } "Global motion estimation for digital image stabilization based on a novel matching algorithm", Proc. SPIE 7156, 2008 International Conference on Optical Instruments and Technology: Optical Systems and Optoelectronic Instruments, 71561X (27 January 2009); doi: 10.1117/12.806762; https://doi.org/10.1117/12.806762
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