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- W2372231373 abstract "The direction of the motion that blurs the image can be dealt with as unchanged during the short expose time. It is a pity that the actual motion blur direction in the blurred image is often unknown. It is meritorious to identify the motion blur direction from the blurred images. Then the motion blurred direction can be adjusted to the horizontal axis by image rotation, and the image restoration will become a one-dimension problem, which is much more easy than the two-dimension that it was. Dealing with the original image as an isotropy one rank Markov process, this paper give a new way to identify the motion blur direction from the blurred images by direction derivation method. The new way can identify the blur directions of the images blurred by uniform motion, accelerate motion, vibration etc. It can identify any direction, from -90° to 90°,with high precision. It works with high stabilization.Double linear interpolation or C spline interpolation is used in the identification. The detailed computing processes of the interpolations are presented. Double linear interpolation needs less computing time, but C spline interpolation works out with higher identification precision. The new way to identify the motion blur direction is developed by introducing into the weighted averages method, which is helpful to restrain the random factors that cause identification errors, to enhance the identification stabilization, to work out with higher identification precision." @default.
- W2372231373 created "2016-06-24" @default.
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- W2372231373 date "2005-01-01" @default.
- W2372231373 modified "2023-09-25" @default.
- W2372231373 title "Identification of Motion Blur Direction from Motion Blurred Image by Direction Derivation Method" @default.
- W2372231373 hasPublicationYear "2005" @default.
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