Multifractal spectrum algorithm based on multi-weight method(MWM) was presented in a accordance with the presnt multifractal spectrum sensitive to the noises. The definition of multifractal spectrum based onmeasurement theorywas introduced. The probability measure based on MWM was defined that can be used to estimate the multifractal spectrum. The capability of multifractal spectrum of MWM was analyzed. In the paper we analyzed the linear region

the anti-noise performance and the convergence of MWM compared to the Bottom interface and variance. The above approach showed that the noise can be reduced effectively and the fine property can be stressed. The local property of an image can remained muchmore and the weighted factor is converged quickly than the approach based on Bottom interface and variance.