In order to solve the problem that phase can’t be quickly and accurately unwarped in wavelet transform profilometry, a algorithm was presented which could effectively suppress noise. Firstly, the characteristics between the amplitude of wavelet ridge coefficient quality map and phase derivative variance quality map were analysized. Then, based on the deviation degree between phase vaule and its mathematical expectation, a “the amplitude of wavelet ridge coefficient variance derivative” quality map was constructed with the wavelet ridge amplitude coefficient variance matrix and variance derivative. Finally, from computer simulation and real experimental modeling, unwrapping phase based on the new quality map was compared with the traditional phase unwrapping method and the improved quality map method. Experimental results show that the accuracy of phase unwrapping is improved, the phase unwrapping error is decreased by 2.61 percent. The proposed quality map is construted quickly, phase unwrapping guided by the new quality map can obtain accurate absolute phase and effectively suppress noise, which can reconstruct accurate 3D model through the obtained absolute phase.