Block Wiener-based image registration for moving target indication

Image and Vision Computing(2009)

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摘要
This paper develops a block Wiener-based image registration method to align consecutive frames in a video sequence. The main purpose of this registration technique is to serve as a processing step in a moving target indication (MTI) algorithm, where subsequent steps include frame-to-frame differencing and thresholding. Experiments show that the block Wiener-based approach is computationally efficient and effective in terms of facilitating a MTI. These experiments compare the block Wiener-based against traditional global parametric registration, pixel-based Wiener registration, block-based motion compensation, and state-of-the-art phase-based registration.
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关键词
state-of-the-art phase-based registration,block wiener-based approach,traditional global parametric registration,target indication,pixel-based wiener registration,registration technique,block-based motion compensation,moving target indication,consecutive frame,least mean-squared estimation,wiener filtering,block wiener-based image registration,frame-to-frame differencing,main purpose,image registration,least mean square,wiener filter,accuracy,pixels
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