2 September 2009 Global rotational motion and displacement estimation of digital image stabilization based on the oblique vectors matching algorithm
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Abstract
The image block matching algorithm based on motion vectors of correlative pixels in oblique direction is presented for digital image stabilization. The digital image stabilization is a new generation of image stabilization technique which can obtains the information of relative motion among frames of dynamic image sequences by the method of digital image processing. In this method the matching parameters are calculated from the vectors projected in the oblique direction. The matching parameters based on the vectors contain the information of vectors in transverse and vertical direction in the image blocks at the same time. So the better matching information can be obtained after making correlative operation in the oblique direction. And an iterative weighted least square method is used to eliminate the error of block matching. The weights are related with the pixels' rotational angle. The center of rotation and the global emotion estimation of the shaking image can be obtained by the weighted least square from the estimation of each block chosen evenly from the image. Then, the shaking image can be stabilized with the center of rotation and the global emotion estimation. Also, the algorithm can run at real time by the method of simulated annealing in searching method of block matching. An image processing system based on DSP was used to exam this algorithm. The core processor in the DSP system is TMS320C6416 of TI, and the CCD camera with definition of 720×576 pixels was chosen as the input video signal. Experimental results show that the algorithm can be performed at the real time processing system and have an accurate matching precision.
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Fei Yu, Fei Yu, Mei Hui, Mei Hui, Yue-jin Zhao, Yue-jin Zhao, } "Global rotational motion and displacement estimation of digital image stabilization based on the oblique vectors matching algorithm", Proc. SPIE 7443, Applications of Digital Image Processing XXXII, 74431M (2 September 2009); doi: 10.1117/12.825438; https://doi.org/10.1117/12.825438
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