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19 November 2013 Wavelet denoising of multiframe optical coherence tomography data using correlation analysis
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Proceedings Volume 8922, IX International Seminar on Medical Information Processing and Analysis; 89220H (2013) https://doi.org/10.1117/12.2034302
Event: IX International Seminar on Medical Information Processing and Analysis, 2013, Mexico City, Mexico
Abstract
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.
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Wajiha Habib, Adil Masood Siddiqui, and Imran Touqir "Wavelet denoising of multiframe optical coherence tomography data using correlation analysis", Proc. SPIE 8922, IX International Seminar on Medical Information Processing and Analysis, 89220H (19 November 2013); https://doi.org/10.1117/12.2034302
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