Multisensor Video Fusion Based on Surfacelet Transform

Abstract:

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Based on the three dimensional surfacelet transform, a novel multisensor video fusion algorithm is proposed, in which, multiple frames of input videos are regarded as special three dimensional signals and fused as a whole rather than frame by frame. Meanwhile, selection principles for different subband coefficients are discussed in detail. Experimental results demonstrate that the proposed algorithm outperforms the traditional individual-frame-based and motion-based methods in spatial-temporal information extraction as well as in temporal stability and consistency. In addition, it does not require the motion target detection pre-step and is easy to implement.

Info:

Periodical:

Advanced Materials Research (Volumes 341-342)

Edited by:

Liu Guiping

Pages:

163-167

DOI:

10.4028/www.scientific.net/AMR.341-342.163

Citation:

Q. Zhang et al., "Multisensor Video Fusion Based on Surfacelet Transform", Advanced Materials Research, Vols. 341-342, pp. 163-167, 2012

Online since:

September 2011

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Price:

$35.00

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