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- W2333012019 abstract "A novel method for Electronic Image Stabilization (EIS) of Bayer color video image sequence was proposed. On the basis of the characteristics of Bayer color image, it converted firstly the Bayer color image into a gray image by using demosaicing and converting RGB into YCbCr. Then, the motion estimation algorithm based on gray scale projection was used to estimate the translation parameter between current frame and reference frame, in which the gray scale projection curves of horizontal and vertical directions of the gray image well reflected the feature of gray distribution in the corresponding direction, and the translation parameters could be obtained via cross correlation function of the gray scale projection curves. In order to resolve the problems of mismatch-color when translation was odd, the motion compensation algorithm based on the bilinear interpolation was applied to compensation of the translation of current frame. Finally, the demosaicing and image stabilization for the Bayer image sequence were performed. The experimental results for video sequences show that the proposed method can implement image detection in a pixel level, and can achieve higher stabilization accuracy with a peek signal to noise ratio of 40 db. It is efficient and suited for the motion estimation and compensation for Bayer color video image sequences." @default.
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- W2333012019 date "2014-01-01" @default.
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- W2333012019 title "Electronic image stabilization for Bayer color video sequence image" @default.
- W2333012019 doi "https://doi.org/10.3788/ope.20142202.0481" @default.
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