Wavelet filter coefficients from the Morlet wavelet
The critically-sampled  lowpass/highpass and subsampled filter bank implementation of the Discrete Wavelet Transform (DWT) is only valid for a certain class of wavelets. And the Morlet wavelet family does not belong to this class. 

Explained differently, discrete wavelets seldom have closed-form expressions, because of the constrains laid on the dyadic scales and filters. Since the Morlet wavelet is complex, you may want to invest in one of its discrete avatars, the dual-tree wavelet transforms, that are somewhat redundant however. I happen some personal references on the topic:


Noise Covariance Properties in Dual-Tree Wavelet Decompositions
Image Analysis Using a Dual-Tree M-Band Wavelet Transform
A nonlinear Stein based estimator for multichannel image denoising