In this paper a new dim target fusion detection method based on SA4 multiwavelet is proposed to solve the problem that scalar wavelet has a low precision in dim target detection. Multiwavelets have more freedoms in their construction and thus can combine more useful properties than the scalar wavelets. Firstly sixteen sub-images of different resolution can received by decomposing the image with one-layer multiwavelet, then the four low frequency coefficients of multiwavelet are removed by setting them to zero, and the sub-images are fused with weighted average algorithm, while the optimization assignment of weight can be got using Lagrange Multiplier method.The detection result is received by segmenting with adaptive threshold to the fusion image, and the moving track of target can be got by accumulating the results of each frame. Two sequence images with SNR of 2.71 and 1.81 are used in the experiment respectively, and experimental results show that the contrast of the image processed with multiwavelet is more clear than the scalar wavelet one, and the detection precision is distinctly improved.

Date Published: 30 October 2009
PDF: 7 pages
Proc. SPIE 7494, MIPPR 2009: Multispectral Image Acquisition and Processing, 74941N (30 October 2009);

Published in SPIE Proceedings Vol. 7494:
MIPPR 2009: Multispectral Image Acquisition and Processing
Faxiong Zhang; Faxiong Zhang, Editor(s)