Multisensor Video Fusion Based on Surfacelet Transform
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.
video fusion surfacelet transform spatial-temporal information
Qiang Zhang Huijuan Li Zhaokun Ma
Center for Complex Systems,School of Mechano-electronic Engineering,Xidian University,XianShaanxi 710071,China
国际会议
厦门
英文
163-167
2011-07-08(万方平台首次上网日期,不代表论文的发表时间)