Wavelet denoising of multiframe optical coherence tomography data using correlation analysis

Wajiha Habib; Adil Masood Siddiqui; Imran Touqir

doi:10.1117/12.2034302

19 November 2013 Wavelet denoising of multiframe optical coherence tomography data using correlation analysis

Wajiha Habib, Adil Masood Siddiqui, Imran Touqir

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.

Citation Download Citation

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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KEYWORDS

Wavelets

Denoising

Optical coherence tomography

Image quality

Speckle

Image processing

Wavelet transforms

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