Stationary　wavelet　transform　(SWT)　was　proposed　to　enhance　time-domain　optical　coherence　tomography　(OCT)　images　of　multilayered　thin-film　structures.　Multi-level　SWT　decomposition　of　OCT　images　was　conducted　and　the　SWT　detail　coefficients　could　be　employed　for　feature　extraction　of　multilayered　structures＇　interface.　The　experimental　results　demonstrated　that　SWT-based　technique　could　achieve　better　OCT　image　quality　than　traditional　OCT　imaging,　making　it　attractive　for　non-medical　applications.