In order to acquire color images of targets under Low Light Level(LLL) and improve the ability to distinguish targets from background at night, a color night vision image fusion method based on quadruple-band images was proposed.The quadruple-band filter with a transmittance at the center wavelength of three-band color lights and near-infrared band was designed by using Fabry-Perot(FP) filter, and the average transmittance is up to 90% at each transmission region. The quadruple-band filter was designed as a color-wheel filter structure,the spectral transmittance of each single band filter was measured by a spectrometer.The Signal Noise Ratio(SNR) of the night vision system after adding the filter was analyzed and calculated.The analysis results show that adding the filter will not introduce addition noise, and the SNR of the imaging system which added the blue, green, red and near-infrared band filters is equivalent to 19.59%, 38.45%, 47.28% and 46.70% to compare with that of the original monochromatic night vision system, respectively. Using a domestic Super Gen II image intensifier, quadruple-band image acquisition and color image fusion experiments were carried out in LLL laboratory, the experimental illumination is 1×10－1lx and 1×10－3lx, a set of images was adopted to conduct quality assessment. Experiment results show that, when the illumination is 1×10－3lx, the fusion color image is superior to the filtered blue and green monochromatic images both in gray mean, gray variance and information entropy, and the color image is enhanced by the use of the near infrared image, as a result the color image brightness is higher and the color identification is better.When the illumination is 1×10－1lx, the information entropy of the fusion color image is bigger than that of the red, green and blue color images. This research can give reference to the design and development of color night vision system.