Wavelet denoising of multiframe optical coherence tomography data using correlation analysis

摘要

A new wavelet based algorithm for performing denoising of multiple frame Optical Coherence Tomography (OCT) data is proposed. The method is based on the assumption that noise between frames is uncorrelated. By comparing multiple frames using an appropriate similarity measure we can distinguish between unwanted noise and image features. Two similarity measures are used for weighting wavelet coefficients of each frame. Final denoised image is constructed from weighted and averaged frames. Quantitative and qualitative analysis reveal the superiority of proposed algorithm over existing denoising approaches.